Business Intel Engineer-II, RBS Storewalk As a Research Analyst (RA), you'll collaborate with experts to develop ML solutions for business needs. You'll drive product pilots, demonstrating innovative thinking and customer focus. You'll build scalable solutions, write high-quality code, and develop state-of-the-art ML models. You'll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML models. This will require collaboration with local and global teams, which have process and technical expertise. Therefore, RA should be a self-starter who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports. Key job responsibilities Scoping, driving and delivering complex projects across multiple teams. Performing root cause analysis by understanding the data needs, pulling the data, and analyzing it to form and validate hypotheses. Conducting a thorough analysis of large datasets to identify patterns, trends, and insights that can inform the development of NLP applications. Developing and implementing machine learning models and deep learning architectures to improve NLP systems. Collaborating with seasoned Applied Scientists and proposing best-in-class ML solutions for business requirements. Diving deep to drive product pilots, demonstrating innovative thinking and customer obsession to steer the product roadmap. Building scalable solutions in partnership with Applied Scientists by developing technical intuition to write high-quality code and develop state-of-the-art ML models utilizing recent research breakthroughs in academia and industry. Coordinating design efforts between Sciences and Software teams to deliver optimized solutions. Thriving in ambiguous, uncertain, and fast-moving ML use case developments. Mentoring Junior Research Analysts (RAs) and contributing to RA hiring. About the team The Storewalk program is designed to elevate customer experience by targeting high-opportunity shopping missions (HOSMs) within Amazon stores that suffer from low sales conversion rates. During the purchase journey, a customer goes through recursive cycles of search, evaluation, and then finally purchases the product if it suits his/her requirements. In RBS Storewalk, we study customer anecdotes and mimic the customer journey to identify key frustrations at each stage and improve customer experience by driving fixes with partner teams. Our primary objective is to ensure customers can seamlessly complete their purchase journey without encountering any customer experience (CX) defects during their shopping journey. BASIC QUALIFICATIONS Bachelor's degree in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics). 3+ years of relevant work experience in solving real-world business problems using machine learning, deep learning, data mining, and statistical algorithms. Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory. Strong analytical thinking. Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong data, written, and verbal communication skills. Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management, and operations. PREFERRED QUALIFICATIONS Master's degree with specialization in ML, NLP, or Computer Vision preferred. 3+ years of relevant work experience in a related field (project management, customer advocate, product owner, engineering, business analysis). Diverse experience will be favored, e.g., a mix of experience across different roles - In-depth understanding of machine learning concepts including developing models and tuning hyper-parameters, as well as deploying models and building ML services. Technical expertise, experience in Data science, ML, and Statistics. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. Posted: February 25, 2025 (Updated 3 days ago) Posted: April 9, 2025 (Updated 4 days ago) Posted: October 2, 2024 (Updated 4 days ago) Posted: April 10, 2025 (Updated 4 days ago) Posted: April 10, 2025 (Updated 4 days ago) Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Jun 14, 2025
Full time
Business Intel Engineer-II, RBS Storewalk As a Research Analyst (RA), you'll collaborate with experts to develop ML solutions for business needs. You'll drive product pilots, demonstrating innovative thinking and customer focus. You'll build scalable solutions, write high-quality code, and develop state-of-the-art ML models. You'll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML models. This will require collaboration with local and global teams, which have process and technical expertise. Therefore, RA should be a self-starter who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports. Key job responsibilities Scoping, driving and delivering complex projects across multiple teams. Performing root cause analysis by understanding the data needs, pulling the data, and analyzing it to form and validate hypotheses. Conducting a thorough analysis of large datasets to identify patterns, trends, and insights that can inform the development of NLP applications. Developing and implementing machine learning models and deep learning architectures to improve NLP systems. Collaborating with seasoned Applied Scientists and proposing best-in-class ML solutions for business requirements. Diving deep to drive product pilots, demonstrating innovative thinking and customer obsession to steer the product roadmap. Building scalable solutions in partnership with Applied Scientists by developing technical intuition to write high-quality code and develop state-of-the-art ML models utilizing recent research breakthroughs in academia and industry. Coordinating design efforts between Sciences and Software teams to deliver optimized solutions. Thriving in ambiguous, uncertain, and fast-moving ML use case developments. Mentoring Junior Research Analysts (RAs) and contributing to RA hiring. About the team The Storewalk program is designed to elevate customer experience by targeting high-opportunity shopping missions (HOSMs) within Amazon stores that suffer from low sales conversion rates. During the purchase journey, a customer goes through recursive cycles of search, evaluation, and then finally purchases the product if it suits his/her requirements. In RBS Storewalk, we study customer anecdotes and mimic the customer journey to identify key frustrations at each stage and improve customer experience by driving fixes with partner teams. Our primary objective is to ensure customers can seamlessly complete their purchase journey without encountering any customer experience (CX) defects during their shopping journey. BASIC QUALIFICATIONS Bachelor's degree in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics). 3+ years of relevant work experience in solving real-world business problems using machine learning, deep learning, data mining, and statistical algorithms. Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory. Strong analytical thinking. Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong data, written, and verbal communication skills. Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management, and operations. PREFERRED QUALIFICATIONS Master's degree with specialization in ML, NLP, or Computer Vision preferred. 3+ years of relevant work experience in a related field (project management, customer advocate, product owner, engineering, business analysis). Diverse experience will be favored, e.g., a mix of experience across different roles - In-depth understanding of machine learning concepts including developing models and tuning hyper-parameters, as well as deploying models and building ML services. Technical expertise, experience in Data science, ML, and Statistics. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. Posted: February 25, 2025 (Updated 3 days ago) Posted: April 9, 2025 (Updated 4 days ago) Posted: October 2, 2024 (Updated 4 days ago) Posted: April 10, 2025 (Updated 4 days ago) Posted: April 10, 2025 (Updated 4 days ago) Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Applied Scientist II, Last Mile Geospatial Science Customer addresses, Geospatial information and Road-network play a crucial role in Amazon Logistics' Delivery Planning systems. We own exciting science problems in the areas of Address Normalization, Geocode learning, Maps learning, Time estimations including route-time, delivery-time, transit-time predictions which are key inputs in delivery planning. As part of the Geospatial science team within Last Mile, you will partner closely with other scientists and engineers in a collegial environment to develop enterprise ML solutions with a clear path to business impact. The setting also gives you an opportunity to think about a complex large-scale problem for multiple years and building increasingly sophisticated solutions year over year. In the process there will be opportunity to innovate, explore SOTA and publish the research in internal and external ML conferences. Successful candidates will have deep knowledge of competing machine learning methods for large scale predictive modelling, natural language processing, semi-supervised & graph based learning. We also look for the experience to graduate prototype models to production and the communication skills to explain complex technical approaches to the stakeholders of varied technical expertise. Key job responsibilities As an Applied Scientist II, your responsibility will be to deliver on a well defined but complex business problem, explore SOTA technologies including GenAI and customize the large models as suitable for the application. Your job will be to work on a end-to-end business problem from design to experimentation and implementation. There is also an opportunity to work on open ended ML directions within the space and publish the work in prestigious ML conferences. BASIC QUALIFICATIONS 3+ years of building models for business application experience PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS Experience using Unix/Linux Experience in professional software development Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Jun 14, 2025
Full time
Applied Scientist II, Last Mile Geospatial Science Customer addresses, Geospatial information and Road-network play a crucial role in Amazon Logistics' Delivery Planning systems. We own exciting science problems in the areas of Address Normalization, Geocode learning, Maps learning, Time estimations including route-time, delivery-time, transit-time predictions which are key inputs in delivery planning. As part of the Geospatial science team within Last Mile, you will partner closely with other scientists and engineers in a collegial environment to develop enterprise ML solutions with a clear path to business impact. The setting also gives you an opportunity to think about a complex large-scale problem for multiple years and building increasingly sophisticated solutions year over year. In the process there will be opportunity to innovate, explore SOTA and publish the research in internal and external ML conferences. Successful candidates will have deep knowledge of competing machine learning methods for large scale predictive modelling, natural language processing, semi-supervised & graph based learning. We also look for the experience to graduate prototype models to production and the communication skills to explain complex technical approaches to the stakeholders of varied technical expertise. Key job responsibilities As an Applied Scientist II, your responsibility will be to deliver on a well defined but complex business problem, explore SOTA technologies including GenAI and customize the large models as suitable for the application. Your job will be to work on a end-to-end business problem from design to experimentation and implementation. There is also an opportunity to work on open ended ML directions within the space and publish the work in prestigious ML conferences. BASIC QUALIFICATIONS 3+ years of building models for business application experience PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS Experience using Unix/Linux Experience in professional software development Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Applied Scientist II, AGI Sensory and Machine Learning Builder Services Amazon is looking for a passionate, talented, and inventive Scientist with a strong machine learning background to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), and Audio Signal Processing, in order to provide the best-possible experience for our customers. As a Speech and Language Scientist, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in spoken language understanding. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding. We are hiring in the area of speech recognition (ASR). BASIC QUALIFICATIONS MS or PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialization in speech recognition, natural language processing, or machine learning. Familiar with programming languages such as C/C++, Java, Perl or Python. PREFERRED QUALIFICATIONS Experience in building speech recognition and natural language processing systems (e.g. commercial speech products or government speech projects). Solid Machine Learning background and familiar with standard speech and machine learning techniques. Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field. Solid software development experience. Good written and spoken communication skills. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Jun 10, 2025
Full time
Applied Scientist II, AGI Sensory and Machine Learning Builder Services Amazon is looking for a passionate, talented, and inventive Scientist with a strong machine learning background to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), and Audio Signal Processing, in order to provide the best-possible experience for our customers. As a Speech and Language Scientist, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in spoken language understanding. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding. We are hiring in the area of speech recognition (ASR). BASIC QUALIFICATIONS MS or PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialization in speech recognition, natural language processing, or machine learning. Familiar with programming languages such as C/C++, Java, Perl or Python. PREFERRED QUALIFICATIONS Experience in building speech recognition and natural language processing systems (e.g. commercial speech products or government speech projects). Solid Machine Learning background and familiar with standard speech and machine learning techniques. Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field. Solid software development experience. Good written and spoken communication skills. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Applied Scientist II, India Machine Learning Do you want to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon's customers? Do you want to build and deploy advanced algorithmic systems that help optimize millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Machine Learning and team for India Consumer Businesses. If you have an entrepreneurial spirit, know how to deliver, love to work with data, are deeply technical, highly innovative and long for the opportunity to build solutions to challenging problems that directly impact the company's bottom-line, we want to talk to you. Major responsibilities - Use machine learning and analytical techniques to create scalable solutions for business problems - Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes - Design, development, evaluate and deploy innovative and highly scalable models for predictive learning - Research and implement novel machine learning and statistical approaches - Work closely with software engineering teams to drive real-time model implementations and new feature creations - Work closely with business owners and operations staff to optimize various business operations - Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation - Mentor other scientists and engineers in the use of ML techniques About the team The India Machine Learning team works closely with the business and engineering teams in building ML solutions that create an impact for Amazon's IN businesses. This is a great opportunity to leverage your machine learning and data mining skills to create a direct impact on consumers and end users. BASIC QUALIFICATIONS - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - Experience using Unix/Linux - Experience in professional software development Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Jun 08, 2025
Full time
Applied Scientist II, India Machine Learning Do you want to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon's customers? Do you want to build and deploy advanced algorithmic systems that help optimize millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Machine Learning and team for India Consumer Businesses. If you have an entrepreneurial spirit, know how to deliver, love to work with data, are deeply technical, highly innovative and long for the opportunity to build solutions to challenging problems that directly impact the company's bottom-line, we want to talk to you. Major responsibilities - Use machine learning and analytical techniques to create scalable solutions for business problems - Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes - Design, development, evaluate and deploy innovative and highly scalable models for predictive learning - Research and implement novel machine learning and statistical approaches - Work closely with software engineering teams to drive real-time model implementations and new feature creations - Work closely with business owners and operations staff to optimize various business operations - Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation - Mentor other scientists and engineers in the use of ML techniques About the team The India Machine Learning team works closely with the business and engineering teams in building ML solutions that create an impact for Amazon's IN businesses. This is a great opportunity to leverage your machine learning and data mining skills to create a direct impact on consumers and end users. BASIC QUALIFICATIONS - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - Experience using Unix/Linux - Experience in professional software development Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Applied Scientist II (Machine Learning), ITA - Automated Performance Evaluation Job ID: Amazon Development Centre (Scotland) Limited Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations. ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more, all with the shared goal of connecting the right people to the right jobs in a way that is fair and precise. Last year we delivered over 6 million online candidate assessments, and helped Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity, at the right location and at exactly the right time. You'll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon's in-house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems. Key job responsibilities As an Applied Scientist, you will own the design and development of end-to-end systems. You'll have the opportunity to write technical white papers, create technical roadmaps and drive production level projects that will support Amazon Science. You will have the opportunity to design new algorithms, models, or other technical solutions whilst experiencing Amazon's customer focused culture. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems. About the team The Automated Performance Evaluation (APE) team is a hybrid team of Applied Scientists and Software Development Engineers who develop, deploy and own end-to-end machine learning services for use in the HR and Recruiting functions at Amazon. BASIC QUALIFICATIONS PhD, or a Master's degree and experience in CS, CE, ML or related field Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience in building machine learning models for business application PREFERRED QUALIFICATIONS Experience using Unix/Linux Experience in professional software development Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information.
Jun 04, 2025
Full time
Applied Scientist II (Machine Learning), ITA - Automated Performance Evaluation Job ID: Amazon Development Centre (Scotland) Limited Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations. ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more, all with the shared goal of connecting the right people to the right jobs in a way that is fair and precise. Last year we delivered over 6 million online candidate assessments, and helped Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity, at the right location and at exactly the right time. You'll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon's in-house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems. Key job responsibilities As an Applied Scientist, you will own the design and development of end-to-end systems. You'll have the opportunity to write technical white papers, create technical roadmaps and drive production level projects that will support Amazon Science. You will have the opportunity to design new algorithms, models, or other technical solutions whilst experiencing Amazon's customer focused culture. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems. About the team The Automated Performance Evaluation (APE) team is a hybrid team of Applied Scientists and Software Development Engineers who develop, deploy and own end-to-end machine learning services for use in the HR and Recruiting functions at Amazon. BASIC QUALIFICATIONS PhD, or a Master's degree and experience in CS, CE, ML or related field Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience in building machine learning models for business application PREFERRED QUALIFICATIONS Experience using Unix/Linux Experience in professional software development Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information.
We are looking for an IoT/IIoT cybersecurity engineer, in a hybrid home and laboratory position, headquartered in the UK to strengthen our IOT cybersecurity team. Your primary objective will be to deliver cybersecurity assessment and certification evaluation of products and components. Examples of the tasks, include, but are not limited to; assessment to latest cybersecurity standards, penetration testing (IoT and WebApp), threat modelling, firmware investigation, code analysis etc. This service will be provided to external clients, who will predominantly be manufacturers of wired and wireless IoT/IIoT devices. You will be part of a dynamic, professional global team whose core values include operating with integrity, being solutions orientated and being committed to building and sustaining long-term relationships with our customers. You will regularly engage with customers and attend to customer requirements and, using your technical expertise, you will contribute to the development and scaling of a robust product certification framework. Your role will include testing products as well as contributing to the development of an evolving and dynamic cyber assessment service. The opportunity offers a competitive salary package and a modern working environment with a subsidised on-site restaurant and gym and support in finding local accommodation if required. Main Duties & Responsibilities: Perform assessments to the latest cybersecurity regulations, standards and guidelines Perform security reviews and testing of IOT hardware devices, including application design, embedded software, web applications, web services and mobile applications to bespoke test programs and the latest regulatory cybersecurity requirements Hardware penetration testing Skilled in the use of the appropriate software tools used in assessments and penetration Engage with customers, understand their products and assessment requirements, and define bespoke test programs based upon our customer needs Actively contribute to the development of the TUV SUD security program with a focus on IIoT/IoT devices. Participate and contribute on global cybersecurity regulatory standards committees Provide training to customers on the interpretation of regulatory standards and best practice Fluent written and spoken English (other language skills would be desirable). Essential Criteria: Relevant Cybersecurity qualification, preferably a cybersecurity degree (BSc/MSc/PhD) or equivalent cybersecurity qualification Experience in a penetration testing (SW/HW) or similar offensive security A commitment to customer service excellence. Strong analytical skills and efficient problem solving. Ability to work unsupervised, under pressure and meet deadlines. Creative with strong commitment to quality and excellence. Desirable Criteria: Assessment experience to EN (Apply online only), EN 18031-x series of standards, NIST 8259, NIST CSF, etc Additional cybersecurity credentials such as OWASP, OSCP, CISSP etc Knowledge of security architecture design and applying regulatory guidance on cybersecurity assessment methodologies for risk management. Practical knowledge with the development and implementation of electronic, network, or data security related controls (encryption, digital signatures, secure boot, access control, password management). Understanding how to implement security activities such as vulnerability and patch management, threat intelligence etc. Hands-on practical knowledge with reverse engineering and/or vulnerability testing tools and techniques. Experience in common scripting languages such as Python, Ruby, LUA, Powershell or BASH and at least one development language e.g. Java, C, C# or similar would benefit the role. Experience in product development and testing. Further Information: T V S D in the UK offers a competitive salary and benefits package that includes a minimum of 33 days holiday entitlement (for full-time employees, including public holidays), a contributory Group Personal Pension Plan and a non-contributory Group Life Assurance Scheme. We also offer various Salary Exchange/Sacrifice schemes (buying/selling holiday, cycle to work scheme, pensions), incentive schemes and comprehensive wellbeing support (Employee Assistance Programme, Dental Scheme and Occupational Health services). Dependent on their role, employees may also be eligible for hybrid/permanent home-working, a Company Car/Car Allowance and Private Medical Insurance.
May 30, 2025
Full time
We are looking for an IoT/IIoT cybersecurity engineer, in a hybrid home and laboratory position, headquartered in the UK to strengthen our IOT cybersecurity team. Your primary objective will be to deliver cybersecurity assessment and certification evaluation of products and components. Examples of the tasks, include, but are not limited to; assessment to latest cybersecurity standards, penetration testing (IoT and WebApp), threat modelling, firmware investigation, code analysis etc. This service will be provided to external clients, who will predominantly be manufacturers of wired and wireless IoT/IIoT devices. You will be part of a dynamic, professional global team whose core values include operating with integrity, being solutions orientated and being committed to building and sustaining long-term relationships with our customers. You will regularly engage with customers and attend to customer requirements and, using your technical expertise, you will contribute to the development and scaling of a robust product certification framework. Your role will include testing products as well as contributing to the development of an evolving and dynamic cyber assessment service. The opportunity offers a competitive salary package and a modern working environment with a subsidised on-site restaurant and gym and support in finding local accommodation if required. Main Duties & Responsibilities: Perform assessments to the latest cybersecurity regulations, standards and guidelines Perform security reviews and testing of IOT hardware devices, including application design, embedded software, web applications, web services and mobile applications to bespoke test programs and the latest regulatory cybersecurity requirements Hardware penetration testing Skilled in the use of the appropriate software tools used in assessments and penetration Engage with customers, understand their products and assessment requirements, and define bespoke test programs based upon our customer needs Actively contribute to the development of the TUV SUD security program with a focus on IIoT/IoT devices. Participate and contribute on global cybersecurity regulatory standards committees Provide training to customers on the interpretation of regulatory standards and best practice Fluent written and spoken English (other language skills would be desirable). Essential Criteria: Relevant Cybersecurity qualification, preferably a cybersecurity degree (BSc/MSc/PhD) or equivalent cybersecurity qualification Experience in a penetration testing (SW/HW) or similar offensive security A commitment to customer service excellence. Strong analytical skills and efficient problem solving. Ability to work unsupervised, under pressure and meet deadlines. Creative with strong commitment to quality and excellence. Desirable Criteria: Assessment experience to EN (Apply online only), EN 18031-x series of standards, NIST 8259, NIST CSF, etc Additional cybersecurity credentials such as OWASP, OSCP, CISSP etc Knowledge of security architecture design and applying regulatory guidance on cybersecurity assessment methodologies for risk management. Practical knowledge with the development and implementation of electronic, network, or data security related controls (encryption, digital signatures, secure boot, access control, password management). Understanding how to implement security activities such as vulnerability and patch management, threat intelligence etc. Hands-on practical knowledge with reverse engineering and/or vulnerability testing tools and techniques. Experience in common scripting languages such as Python, Ruby, LUA, Powershell or BASH and at least one development language e.g. Java, C, C# or similar would benefit the role. Experience in product development and testing. Further Information: T V S D in the UK offers a competitive salary and benefits package that includes a minimum of 33 days holiday entitlement (for full-time employees, including public holidays), a contributory Group Personal Pension Plan and a non-contributory Group Life Assurance Scheme. We also offer various Salary Exchange/Sacrifice schemes (buying/selling holiday, cycle to work scheme, pensions), incentive schemes and comprehensive wellbeing support (Employee Assistance Programme, Dental Scheme and Occupational Health services). Dependent on their role, employees may also be eligible for hybrid/permanent home-working, a Company Car/Car Allowance and Private Medical Insurance.
AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Are you interested in working for one of the innovative products in the Generative AI space? Are you passionate about developing tools and automation for generating high-quality data? Are you passionate about developing solutions to enhance the data quality for optimizing large language models? Then, this is the right opportunity for you! AWS Bedrock team is looking for talented System Development Engineers to develop optimal solutions to generate high-quality data and continuously enhance the quality for optimizing large language models to improve the developer experience. Our Org's mission is to use GenAI to help builders create faster, cheaper, more secure, and more reliable applications. We launched services like Amazon CodeWhisperer and are continuously working on adding new services to our portfolio, which solve common business problems and improve developer productivity through research and innovation. We build state-of-the-art services using the latest deep learning techniques and highly scalable distributed systems engineering. Responsibilities Develop & deliver optimal solutions to generate data at high quality and continuously enhance the quality for optimizing large language models. Contribute to the system design. Develop and implement tools for improving productivity and UX. Work with the Engineering and Science team to understand the requirements and develop reusable solutions. Continuously innovate to enhance the coverage and quality of data. Mentor new engineers. About the Team AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS B.E. in Computer Science or equivalent qualification. 2+ years of experience in system development and automation (using C++/Java/Python). Good understanding of data structures and annotations. Good understanding of system architecture and development life cycles. Demonstrated skill and passion for problem solving and operational excellence. PREFERRED QUALIFICATIONS Experience working in medium/large scale software development environments. Experience in taking a project from scoping requirements through launch of the project. Experience in writing test assertions. Amazon is an Equal Opportunity Employer - Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.
Feb 19, 2025
Full time
AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Are you interested in working for one of the innovative products in the Generative AI space? Are you passionate about developing tools and automation for generating high-quality data? Are you passionate about developing solutions to enhance the data quality for optimizing large language models? Then, this is the right opportunity for you! AWS Bedrock team is looking for talented System Development Engineers to develop optimal solutions to generate high-quality data and continuously enhance the quality for optimizing large language models to improve the developer experience. Our Org's mission is to use GenAI to help builders create faster, cheaper, more secure, and more reliable applications. We launched services like Amazon CodeWhisperer and are continuously working on adding new services to our portfolio, which solve common business problems and improve developer productivity through research and innovation. We build state-of-the-art services using the latest deep learning techniques and highly scalable distributed systems engineering. Responsibilities Develop & deliver optimal solutions to generate data at high quality and continuously enhance the quality for optimizing large language models. Contribute to the system design. Develop and implement tools for improving productivity and UX. Work with the Engineering and Science team to understand the requirements and develop reusable solutions. Continuously innovate to enhance the coverage and quality of data. Mentor new engineers. About the Team AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS B.E. in Computer Science or equivalent qualification. 2+ years of experience in system development and automation (using C++/Java/Python). Good understanding of data structures and annotations. Good understanding of system architecture and development life cycles. Demonstrated skill and passion for problem solving and operational excellence. PREFERRED QUALIFICATIONS Experience working in medium/large scale software development environments. Experience in taking a project from scoping requirements through launch of the project. Experience in writing test assertions. Amazon is an Equal Opportunity Employer - Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.
Senior Azure Data Engineer (Databricks) Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to . We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. Why Join Capco? Capco is a global technology and business consultancy, focused on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry. You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We are/have: Experts across the Capital Markets, Insurance, Payments, Retail Banking and Wealth & Asset Management domains. Deep knowledge in various financial services offerings including Finance, Risk and Compliance, Financial Crime, Core Banking etc. Committed to growing our business and hiring the best talent to help us get there. Focused on maintaining our nimble, agile, and entrepreneurial culture. We offer: A work culture focused on innovation and building lasting value for our clients and employees. Ongoing learning opportunities to help you acquire new skills or deepen existing expertise. A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients. A diverse, inclusive, meritocratic culture. Enhanced and competitive family friendly benefits, including maternity / adoption / shared parental leave and paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement. Data Engineering at Capco You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. You'll be part of a digital engineering team that develop new and enhance existing financial and data solutions. You'll be involved in digital and data transformation processes through a continuous delivery model. You will work on automating and optimising data engineering processes, develop robust and fault tolerant data solutions both on cloud and on-premise deployments. You'll be able to work across different data, cloud and messaging technology stacks. You'll have an opportunity to learn and work with specialised data and cloud technologies to widen the skill set. A day in the life of a Data Engineer at Capco Working alongside clients to interpret requirements and define industry-leading solutions. Designing and developing robust, well tested data pipelines. Demonstrating and helping clients adhere to best practices in engineering and SDLC. Building event-driven, loosely coupled distributed applications. Developing both on-premise and cloud-based solutions. Supporting internal Capco capabilities by sharing insight, experience and credentials. About you Capco is looking for hardworking, innovative, and creative people to join our Digital Engineering team. We'd also like to see: Practical experience of engineering best practices, while being obsessed with continuous improvement. Deep technical knowledge of two or more technologies and a curiosity for learning other parts of the stack. Experience delivering software/technology projects leveraging Agile methodologies. You have personally made valuable contributions to products, solutions and teams and can articulate the value to customers. You have played a role in the delivery of critical business applications and ideally customer facing applications. You can communicate complex ideas to non-experts with eloquence and confidence. You bring an awareness and understanding of new technologies being used in finance and other industries and loves to experiment. A passion for being part of the engineering team that is forming the future of finance. Skills & Expertise: You will have experience working with some of the following Methodologies/Technologies. Excellent experience in the Data Engineering Lifecycle, you will have created data pipelines which take data through all layers from generation, ingestion, transformation and serving. Experience of modern Software Engineering principles and experience of creating well tested, clean applications. Enthusiasm and ability to pick up new technologies as needed to solve problems. Hands on working experience of the Databricks platform, must have experience of delivering projects which use DeltaLake, Orchestration, Unity Catalog, Spark Structured Streaming on Databricks. Experience with Data Lakehouse architecture and data warehousing principles, experience with Data Modelling, Schema design and using semi-structured and structured data. Extensive experience using Python, Pyspark and the Python Ecosystem with good exposure to python libraries, Proficient in SQL, Experience Developing in other languages e.g. Scala/Java. Experience with Big Data technologies and Distributed Systems such as Hadoop, HDFS, HIVE, Spark, Databricks, Cloudera. Experience developing near real time event streaming pipelines with tools such as - Kafka, Spark Streaming, Azure Event Hubs. Good understanding of the differences and trade-offs between SQL and NoSQL, ETL and ELT. Proven experience in DevOps and using building robust production data pipelines, CI/CD Pipelines on e.g. Azure DevOps, Jenkins, CircleCI, GitHub Actions etc. Exposure to working with PII, Sensitive Data and understands data regulations such as GDPR.
Feb 18, 2025
Full time
Senior Azure Data Engineer (Databricks) Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to . We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. Why Join Capco? Capco is a global technology and business consultancy, focused on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry. You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We are/have: Experts across the Capital Markets, Insurance, Payments, Retail Banking and Wealth & Asset Management domains. Deep knowledge in various financial services offerings including Finance, Risk and Compliance, Financial Crime, Core Banking etc. Committed to growing our business and hiring the best talent to help us get there. Focused on maintaining our nimble, agile, and entrepreneurial culture. We offer: A work culture focused on innovation and building lasting value for our clients and employees. Ongoing learning opportunities to help you acquire new skills or deepen existing expertise. A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients. A diverse, inclusive, meritocratic culture. Enhanced and competitive family friendly benefits, including maternity / adoption / shared parental leave and paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement. Data Engineering at Capco You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. You'll be part of a digital engineering team that develop new and enhance existing financial and data solutions. You'll be involved in digital and data transformation processes through a continuous delivery model. You will work on automating and optimising data engineering processes, develop robust and fault tolerant data solutions both on cloud and on-premise deployments. You'll be able to work across different data, cloud and messaging technology stacks. You'll have an opportunity to learn and work with specialised data and cloud technologies to widen the skill set. A day in the life of a Data Engineer at Capco Working alongside clients to interpret requirements and define industry-leading solutions. Designing and developing robust, well tested data pipelines. Demonstrating and helping clients adhere to best practices in engineering and SDLC. Building event-driven, loosely coupled distributed applications. Developing both on-premise and cloud-based solutions. Supporting internal Capco capabilities by sharing insight, experience and credentials. About you Capco is looking for hardworking, innovative, and creative people to join our Digital Engineering team. We'd also like to see: Practical experience of engineering best practices, while being obsessed with continuous improvement. Deep technical knowledge of two or more technologies and a curiosity for learning other parts of the stack. Experience delivering software/technology projects leveraging Agile methodologies. You have personally made valuable contributions to products, solutions and teams and can articulate the value to customers. You have played a role in the delivery of critical business applications and ideally customer facing applications. You can communicate complex ideas to non-experts with eloquence and confidence. You bring an awareness and understanding of new technologies being used in finance and other industries and loves to experiment. A passion for being part of the engineering team that is forming the future of finance. Skills & Expertise: You will have experience working with some of the following Methodologies/Technologies. Excellent experience in the Data Engineering Lifecycle, you will have created data pipelines which take data through all layers from generation, ingestion, transformation and serving. Experience of modern Software Engineering principles and experience of creating well tested, clean applications. Enthusiasm and ability to pick up new technologies as needed to solve problems. Hands on working experience of the Databricks platform, must have experience of delivering projects which use DeltaLake, Orchestration, Unity Catalog, Spark Structured Streaming on Databricks. Experience with Data Lakehouse architecture and data warehousing principles, experience with Data Modelling, Schema design and using semi-structured and structured data. Extensive experience using Python, Pyspark and the Python Ecosystem with good exposure to python libraries, Proficient in SQL, Experience Developing in other languages e.g. Scala/Java. Experience with Big Data technologies and Distributed Systems such as Hadoop, HDFS, HIVE, Spark, Databricks, Cloudera. Experience developing near real time event streaming pipelines with tools such as - Kafka, Spark Streaming, Azure Event Hubs. Good understanding of the differences and trade-offs between SQL and NoSQL, ETL and ELT. Proven experience in DevOps and using building robust production data pipelines, CI/CD Pipelines on e.g. Azure DevOps, Jenkins, CircleCI, GitHub Actions etc. Exposure to working with PII, Sensitive Data and understands data regulations such as GDPR.
Location: Southampton, Hampshire, United Kingdom Contract Type: Regular Schedule: 35 Job ID: R87625 Software Engineer III Are you ready for the next step in your engineering career? Would you enjoy working on our cutting-edge products? About the Business: At Cirium, our goal is to keep the world connected. We are the industry leader in aviation analytics; helping our customers understand the past, present, and predicting what will happen tomorrow. Our mission is to transform the aviation industry by enabling airlines, airports, travel companies, tech giants, aircraft manufacturers, financial institutions and many more accelerate their own digital transformation. You can learn more about Cirium at . About the Team: You will be joining a collaborative, curious team of Software Engineers at all different levels. By joining us, you will have the opportunity to share ownership in solving this problem end to end. About the Role: As a Software Engineer III, you will perform moderately difficult research, design, and software development assignments within a specific software functional area or product line. The position requires the ability to work on individual pieces of work and solve problems, including the design of the program flow of individual pieces of code, effective coding, and unit testing. Responsibilities: Interfacing with other personnel or team members to finalize requirements Writing and reviewing portions of detailed specifications for the development of system components of moderate complexity Working closely with other Development team members to understand Product Requirements and translate them into Software designs Implementing development processes, coding best practices, and code reviews Operating in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders Completing bug fixes and resolving technical issues Requirements: BS degree in Engineering, Computer Science, or equivalent experience Solid Software Development experience Proficient in development languages, including one or more of the following: Java, Springboot, Python, C# Excellent understanding of data modeling principles, data manipulation languages, and storage systems Familiar with industry best practices, such as code coverage Good knowledge of software development methodologies (e.g., Agile, Scrum, Kanban) and test-driven development Able to work well with internal and external technology resources Excellent verbal and written communication skills We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. EEO is the Law Supplement. Pay Transparency.
Feb 18, 2025
Full time
Location: Southampton, Hampshire, United Kingdom Contract Type: Regular Schedule: 35 Job ID: R87625 Software Engineer III Are you ready for the next step in your engineering career? Would you enjoy working on our cutting-edge products? About the Business: At Cirium, our goal is to keep the world connected. We are the industry leader in aviation analytics; helping our customers understand the past, present, and predicting what will happen tomorrow. Our mission is to transform the aviation industry by enabling airlines, airports, travel companies, tech giants, aircraft manufacturers, financial institutions and many more accelerate their own digital transformation. You can learn more about Cirium at . About the Team: You will be joining a collaborative, curious team of Software Engineers at all different levels. By joining us, you will have the opportunity to share ownership in solving this problem end to end. About the Role: As a Software Engineer III, you will perform moderately difficult research, design, and software development assignments within a specific software functional area or product line. The position requires the ability to work on individual pieces of work and solve problems, including the design of the program flow of individual pieces of code, effective coding, and unit testing. Responsibilities: Interfacing with other personnel or team members to finalize requirements Writing and reviewing portions of detailed specifications for the development of system components of moderate complexity Working closely with other Development team members to understand Product Requirements and translate them into Software designs Implementing development processes, coding best practices, and code reviews Operating in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders Completing bug fixes and resolving technical issues Requirements: BS degree in Engineering, Computer Science, or equivalent experience Solid Software Development experience Proficient in development languages, including one or more of the following: Java, Springboot, Python, C# Excellent understanding of data modeling principles, data manipulation languages, and storage systems Familiar with industry best practices, such as code coverage Good knowledge of software development methodologies (e.g., Agile, Scrum, Kanban) and test-driven development Able to work well with internal and external technology resources Excellent verbal and written communication skills We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. EEO is the Law Supplement. Pay Transparency.
Applied Scientist II, Trustworthy Shopping Experience (TSE) Ops Product team Are you excited about solving complex business problems at scale through Generative Artificial Intelligence (GenAI)? Are you fascinated about the application of Large Language Models (LLMs) on real-life scenarios? Are you looking to invent solutions using Artificial Intelligence (AI)? If so, we are looking for you to fill a challenging position on Amazon's Trustworthy Shopping Experience (TSE) team. At TSE, our vision is to guarantee customers a worry-free shopping experience by earning their trust that the products they buy are safe, authentic, and compliant with regulations and policy, and giving them the confidence that Amazon stands behind every product and will make it right in the rare chance anything goes wrong. We do this in close partnership with our selling partners and empower them with best-in-class tools and expertise required to offer a high-quality selection of compliant products that customers trust. When we do this consistently, we help selling partners grow their business and power their long-term success. As a Senior Applied Scientist on the team, you will be responsible for delivering the science solutions required to automate complex manual investigation processes, especially by leveraging LLMs. You will handle Amazon scale use-cases with significant impact to the cost of serving Customers. Key job responsibilities You invent and design new solutions for scientifically-complex problem areas and/or opportunities in existing or new business initiatives. You design experiments and define the science approach to solve critical business use-cases for automating manual work that involves unstructured text, documents, images, symbols, etc. Your work focuses on ambiguous problem areas at the product level, where the business problem or opportunity may not yet be crisply defined. You drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty. You provide a system-wide view and design guidance for solutions that can be brand new or evolve from existing ones. You apply and set the example for best practices in software engineering, and systematically peer review code written by your team members. You set standards and proactively drive components to use and improve on state-of-the-art techniques. You autonomously drive thoughtful discussions with customers, engineers, and scientist peers, and build consensus on larger projects and factor complex efforts into independent tasks that can be performed by you and others. About the team Investigation technology Product team in TSE is responsible for the human-in-the-loop products and technology used in the risk investigations at Amazon. The team is also responsible for reducing the cost of performing the investigations, by automating wherever possible and optimizing the experience where manual interventions are needed. The team leverages state-of-the art technology and GenAI to deliver the products and associated goals. BASIC QUALIFICATIONS - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - Experience using Unix/Linux - Experience in professional software development - Experience in patents or publications at top-tier peer-reviewed conferences or journals Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. Posted: February 12, 2025 (Updated 1 day ago)
Feb 17, 2025
Full time
Applied Scientist II, Trustworthy Shopping Experience (TSE) Ops Product team Are you excited about solving complex business problems at scale through Generative Artificial Intelligence (GenAI)? Are you fascinated about the application of Large Language Models (LLMs) on real-life scenarios? Are you looking to invent solutions using Artificial Intelligence (AI)? If so, we are looking for you to fill a challenging position on Amazon's Trustworthy Shopping Experience (TSE) team. At TSE, our vision is to guarantee customers a worry-free shopping experience by earning their trust that the products they buy are safe, authentic, and compliant with regulations and policy, and giving them the confidence that Amazon stands behind every product and will make it right in the rare chance anything goes wrong. We do this in close partnership with our selling partners and empower them with best-in-class tools and expertise required to offer a high-quality selection of compliant products that customers trust. When we do this consistently, we help selling partners grow their business and power their long-term success. As a Senior Applied Scientist on the team, you will be responsible for delivering the science solutions required to automate complex manual investigation processes, especially by leveraging LLMs. You will handle Amazon scale use-cases with significant impact to the cost of serving Customers. Key job responsibilities You invent and design new solutions for scientifically-complex problem areas and/or opportunities in existing or new business initiatives. You design experiments and define the science approach to solve critical business use-cases for automating manual work that involves unstructured text, documents, images, symbols, etc. Your work focuses on ambiguous problem areas at the product level, where the business problem or opportunity may not yet be crisply defined. You drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty. You provide a system-wide view and design guidance for solutions that can be brand new or evolve from existing ones. You apply and set the example for best practices in software engineering, and systematically peer review code written by your team members. You set standards and proactively drive components to use and improve on state-of-the-art techniques. You autonomously drive thoughtful discussions with customers, engineers, and scientist peers, and build consensus on larger projects and factor complex efforts into independent tasks that can be performed by you and others. About the team Investigation technology Product team in TSE is responsible for the human-in-the-loop products and technology used in the risk investigations at Amazon. The team is also responsible for reducing the cost of performing the investigations, by automating wherever possible and optimizing the experience where manual interventions are needed. The team leverages state-of-the art technology and GenAI to deliver the products and associated goals. BASIC QUALIFICATIONS - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - Experience using Unix/Linux - Experience in professional software development - Experience in patents or publications at top-tier peer-reviewed conferences or journals Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. Posted: February 12, 2025 (Updated 1 day ago)
We offer a flexible working policy that supports the health and well-being of our iManage employees. As an organization, we value collaborating and learning from our peers in person, while providing the necessary flexibility for our employees to have a meaningful work-life balance. Please reach out to learn more. Being a Technical Support Engineer at iManage means You're passionate about problem-solving and taking ownership of your work. You will be utilizing your technical skills to help analyze and resolve some of the complex challenges our clients are facing. You will work with our internal teams to help ensure our client's success and provide best in class support experience, and you will learn what it takes to across our products. You will leverage your technical expertise to analyze and solve the complex challenges our clients are encountering with our AI Software Suite. You're about to embark on your journey with iManage. You will learn all about our clients, our products, and how we are on a mission to across the globe. You will be joining a collaborative team that supports your growth and wants to see you progress your career. iM Responsible For Applying your technical skills to analyze and solve the complex challenges our clients encounter with our AI Software Suite. Analyzing, diagnosing, and resolving software and configuration issues in complex multi-tiered application environments. Developing and maintaining a deep technical knowledge of our iManage product suite. Effectively collaborating with customer engineers and system integrators to support complex system deployment projects. Maintaining a deep technical knowledge of Microsoft Windows Servers, networking, relational databases, mobile smart devices, Microsoft desktop software, and web technologies. Learning and maintaining deep knowledge of LLM (large language models), GenAI methodologies, and knowledge management process to deliver complex and comprehensive projects. Developing, documenting, and publishing best practice methods, technical white papers, blogs, and solutions. Proactively assisting customers and internal teams to avoid or reduce problem occurrence. iM Qualified Because I Have A Bachelor's degree in computer science or information technology. An advanced Knowledge of mobile connectivity solutions including Apple iOS application. An advanced Knowledge of TCP/IP networking concepts and configuration, with the ability to troubleshoot the system and connectivity issues. A working knowledge of SQL database technologies. Knowledge of web technologies such as Microsoft IIS and Apache Tomcat, XML, HTML, JavaScript and/or Python. MCSE, MCP or MCSA certification. Don't meet every qualification listed above? Studies show that women and people of color are less likely to apply to jobs unless they meet all qualifications. At iManage, we are committed to building a diverse and inclusive environment, and encourage everyone to show up as their full authentic selves. We welcome those that come with a growth mindset and a hunger for learning; so, if you are excited about this role but your past experience doesn't align perfectly with every qualification we encourage you to apply anyways! iM Getting To Join a supportive, experienced team with an inclusive, encouraging, and vibrant culture. Have flexible work hours that allow me to balance my 'me time' with my work commitments. Collaborate in a modern open plan workspace, with a gaming area, free snacks, drinks and regular social events. Focus on impactful work, solving complex, real challenges utilizing the latest technologies and protocols. Own my career path with our internal development framework. Ask us more about this! Learn new skills and earn certifications with access to unlimited courses in LinkedIn Learning. Join an innovative, industry leading SaaS company that is continuing to grow & scale! iManage is Supporting Me By Creating an inclusive environment where I can help shape the culture not just by fitting in, but by adding to it. Providing a market competitive salary that is applied through a consistent process, equitable for all our employees, and regularly reviewed based on industry data. Rewarding me with an annual performance-based bonus. Providing enhanced parental leave (20 weeks for primary and 10 weeks for secondary caregiver at 100% pay). Matching my pension contribution (up to 6%). Offering BUPA private medical insurance & a Simplyhealth cash plan to help with the everyday costs. Providing Group life cover (including life insurance, income protection and critical illness protection). Encouraging me to take time off with 25 days annual leave, bank holidays, and other life events. Caring for my mental health and well-being with multiple company wellness days and free access to the Healthy Minds app for mindfulness, meditation and more. About iManage iManage is dedicated to Making Knowledge WorkTM. Over one million professionals across 65+ countries rely on our intelligent, cloud-enabled, secure knowledge work platform to uncover and activate the knowledge that exists inside their business content and communications. We are continuously innovating to solve the most complex professional challenges and enable better business outcomes; Our work is not always easy but it is ambitious and rewarding. So we're looking for people who love a challenge. People who are happiest when they're solving problems and collaborating with the industry's best and brightest. That's the iManage way. It's how we do things that might appear impossible. How we develop our employees' strengths and unlock their potential. How we find meaning in everything we do. Whoever you are, whatever you do, however you work. Make it mean something at iManage. iManage provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Learn more at: Please see our privacy statement for more information on how we handle your personal data:
Feb 16, 2025
Full time
We offer a flexible working policy that supports the health and well-being of our iManage employees. As an organization, we value collaborating and learning from our peers in person, while providing the necessary flexibility for our employees to have a meaningful work-life balance. Please reach out to learn more. Being a Technical Support Engineer at iManage means You're passionate about problem-solving and taking ownership of your work. You will be utilizing your technical skills to help analyze and resolve some of the complex challenges our clients are facing. You will work with our internal teams to help ensure our client's success and provide best in class support experience, and you will learn what it takes to across our products. You will leverage your technical expertise to analyze and solve the complex challenges our clients are encountering with our AI Software Suite. You're about to embark on your journey with iManage. You will learn all about our clients, our products, and how we are on a mission to across the globe. You will be joining a collaborative team that supports your growth and wants to see you progress your career. iM Responsible For Applying your technical skills to analyze and solve the complex challenges our clients encounter with our AI Software Suite. Analyzing, diagnosing, and resolving software and configuration issues in complex multi-tiered application environments. Developing and maintaining a deep technical knowledge of our iManage product suite. Effectively collaborating with customer engineers and system integrators to support complex system deployment projects. Maintaining a deep technical knowledge of Microsoft Windows Servers, networking, relational databases, mobile smart devices, Microsoft desktop software, and web technologies. Learning and maintaining deep knowledge of LLM (large language models), GenAI methodologies, and knowledge management process to deliver complex and comprehensive projects. Developing, documenting, and publishing best practice methods, technical white papers, blogs, and solutions. Proactively assisting customers and internal teams to avoid or reduce problem occurrence. iM Qualified Because I Have A Bachelor's degree in computer science or information technology. An advanced Knowledge of mobile connectivity solutions including Apple iOS application. An advanced Knowledge of TCP/IP networking concepts and configuration, with the ability to troubleshoot the system and connectivity issues. A working knowledge of SQL database technologies. Knowledge of web technologies such as Microsoft IIS and Apache Tomcat, XML, HTML, JavaScript and/or Python. MCSE, MCP or MCSA certification. Don't meet every qualification listed above? Studies show that women and people of color are less likely to apply to jobs unless they meet all qualifications. At iManage, we are committed to building a diverse and inclusive environment, and encourage everyone to show up as their full authentic selves. We welcome those that come with a growth mindset and a hunger for learning; so, if you are excited about this role but your past experience doesn't align perfectly with every qualification we encourage you to apply anyways! iM Getting To Join a supportive, experienced team with an inclusive, encouraging, and vibrant culture. Have flexible work hours that allow me to balance my 'me time' with my work commitments. Collaborate in a modern open plan workspace, with a gaming area, free snacks, drinks and regular social events. Focus on impactful work, solving complex, real challenges utilizing the latest technologies and protocols. Own my career path with our internal development framework. Ask us more about this! Learn new skills and earn certifications with access to unlimited courses in LinkedIn Learning. Join an innovative, industry leading SaaS company that is continuing to grow & scale! iManage is Supporting Me By Creating an inclusive environment where I can help shape the culture not just by fitting in, but by adding to it. Providing a market competitive salary that is applied through a consistent process, equitable for all our employees, and regularly reviewed based on industry data. Rewarding me with an annual performance-based bonus. Providing enhanced parental leave (20 weeks for primary and 10 weeks for secondary caregiver at 100% pay). Matching my pension contribution (up to 6%). Offering BUPA private medical insurance & a Simplyhealth cash plan to help with the everyday costs. Providing Group life cover (including life insurance, income protection and critical illness protection). Encouraging me to take time off with 25 days annual leave, bank holidays, and other life events. Caring for my mental health and well-being with multiple company wellness days and free access to the Healthy Minds app for mindfulness, meditation and more. About iManage iManage is dedicated to Making Knowledge WorkTM. Over one million professionals across 65+ countries rely on our intelligent, cloud-enabled, secure knowledge work platform to uncover and activate the knowledge that exists inside their business content and communications. We are continuously innovating to solve the most complex professional challenges and enable better business outcomes; Our work is not always easy but it is ambitious and rewarding. So we're looking for people who love a challenge. People who are happiest when they're solving problems and collaborating with the industry's best and brightest. That's the iManage way. It's how we do things that might appear impossible. How we develop our employees' strengths and unlock their potential. How we find meaning in everything we do. Whoever you are, whatever you do, however you work. Make it mean something at iManage. iManage provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Learn more at: Please see our privacy statement for more information on how we handle your personal data:
Applied Scientist II, Amazon Music Catalog Amazon Music Catalog team is seeking an experienced Applied Scientist who will join a team of experts in the field of machine learning, and work together to break new ground in the world of understanding and classifying different forms of music, and creating interactive experiences to help users find the music they are in the mood for. We work on machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval. You'll work in a collaborative environment where you can pursue applied research, work on problems that haven't been solved before, quickly implement and deploy your algorithmic ideas at scale, understand whether they succeed via statistically relevant experiments across millions of customers, and publish your research. You'll see the work you do directly improve the experience of Amazon Music customers on Alexa/Echo, mobile, and web. Key job responsibilities Use machine learning, deep learning, LLMs and NLP techniques to create scalable solutions for business problems Analyze and extract relevant information from large amounts of Amazon's data to help automate and optimize key processes Design, development and evaluation of highly innovative models for predictive learning Work closely with software engineering teams to drive model implementations and new feature creations Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation Research and implement novel machine learning and statistical approaches About the team Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. Learn more at BASIC QUALIFICATIONS 2+ years of building models for business application experience PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience Experience programming or scripting language like Python, Java, C or C++ Experience building machine learning models or developing algorithms for business application Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS Experience using Unix/Linux Experience in professional software development Experience in patents or publications at top-tier peer-reviewed conferences or journals Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Feb 15, 2025
Full time
Applied Scientist II, Amazon Music Catalog Amazon Music Catalog team is seeking an experienced Applied Scientist who will join a team of experts in the field of machine learning, and work together to break new ground in the world of understanding and classifying different forms of music, and creating interactive experiences to help users find the music they are in the mood for. We work on machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval. You'll work in a collaborative environment where you can pursue applied research, work on problems that haven't been solved before, quickly implement and deploy your algorithmic ideas at scale, understand whether they succeed via statistically relevant experiments across millions of customers, and publish your research. You'll see the work you do directly improve the experience of Amazon Music customers on Alexa/Echo, mobile, and web. Key job responsibilities Use machine learning, deep learning, LLMs and NLP techniques to create scalable solutions for business problems Analyze and extract relevant information from large amounts of Amazon's data to help automate and optimize key processes Design, development and evaluation of highly innovative models for predictive learning Work closely with software engineering teams to drive model implementations and new feature creations Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation Research and implement novel machine learning and statistical approaches About the team Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. Learn more at BASIC QUALIFICATIONS 2+ years of building models for business application experience PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience Experience programming or scripting language like Python, Java, C or C++ Experience building machine learning models or developing algorithms for business application Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS Experience using Unix/Linux Experience in professional software development Experience in patents or publications at top-tier peer-reviewed conferences or journals Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Banking & Capital Markets, Senior Consultant, Risk Technology Consulting FS Location: London Other locations: Primary Location Only Date: 11 Jan 2025 Requisition ID: Our UK Capital Markets technology and data capability helps our investment banking clients to deliver complex business and regulatory transformation, enabled by technology. The opportunity EY has a market leading Risk practice which requires a strong data and technology focus to deliver strategic future proof solutions with a control and efficiency lens. This presents an opportunity for Technology Consulting to support our clients in helping them to articulate their technology and data strategy and implement their transformations by harnessing the power of their data, identifying business enabling technology tools and capabilities and streamlining their technology estates. You will have the opportunity to work on business-critical engagements. In recent years we have helped investment banks improve their compliance with regulations such as the Basel 3 Regulatory Framework, FRTB and BCBS 239, and prepare for upcoming regulation around Liquidity and Interest Rate Risk and supporting our clients in leverage how to deploy AI in their businesses responsibly. As we look to the future prudential regulation will increasingly have a Climate Risk component, and EY have been recognised as leaders in ESG and sustainability consulting. We also help banks to become more profitable, either by developing new revenue streams, or crucially, by reducing costs. While we predominantly serve the UK market, our clients are global, and we collaborate extensively with our fellow capital markets teams in EMEIA, the US and APAC. We come at transformation problems in the following ways with respect to technology: We are highly skilled at delivering and overseeing large scale technology change - from inception and requirements definition through to operational readiness. We prefer an agile methodology but are happy to work in whatever ways our client's demand. We are increasingly bringing technology assets to clients to help accelerate transformation. Our technology assets include proprietary EY tools as well as best-of-breed vendor tools. We deploy team members from on-shore, near-shore and off-shore teams, and often work alongside our major alliance partners, such as Microsoft, IBM, Snowflake, Moody's, Service Now and Pega to deploy solutions. Increasingly we collaborate with FinTech firms too. We are passionate about keeping pace with the latest emerging technology. We have recently invested in senior hires in Cloud, Digital, Intelligent Automation and AI. But we aren't interested in technology for the sake of technology - we combine the tech mindset with EY's deep business and regulatory knowledge in order to deploy technology intelligently to solve business problems. We are always mindful of the role we and our clients play in relation to long term sustainability and the drive to help financial services become a low carbon industry. We are already advising clients on sustainability and the enabling role that data and technology play. We are looking for Risk Technology Senior Consultants to join our team due to high demand and expected growth. Do you want to engage your mind? Then join EY to gain experiences that will last a lifetime. Your key responsibilities Engagement delivery: roles vary from engagement to engagement, but are likely to include techno-functional analysis, solution and data architecture, solution design, and end to end implementation management. Solution development: contributing in a number of ways to the solutions that we bring to market to address the needs of our client. This could entail research, design of prototypes, software engineering and testing. Business development: we encourage the development of long-term trusted advisor relationships with our clients at an early stage in your career. You will also work on proposals and, from time to time, support thought leadership that we issue to the market. There are three sets of skills required for successful candidates - commercial and interpersonal skills, investment banking knowledge and technology domain expertise. We recognise that Senior Consultants are unlikely to have had the opportunity to demonstrate all the skills listed below in their careers to date. Commercial and interpersonal skills Ability to manage multiple stakeholder communities with varying levels of experience. Identifying opportunities for and securing new business, including leading proposals and bid teams. Ability to demonstrate strong collaboration across a wide spectrum of colleagues, including internationally. A proven track record of working with offshore teams would be a major benefit. High level of drive, commitment to achieving solutions and ability to work under pressure. Ability to engage with our clients and build strong, collaborative relationships. Intellectual strength / flexibility to rapidly understand complex problems, apply critical thinking, and rationalise these into workable solutions which can then be delivered. Appreciation of EY's solutions / go to market abilities and how these service client needs. A demonstrable commitment to diversity and inclusiveness. Strong understanding of Risk Transformation and Financial Risk and Non-Financial Risk business process. Strong product knowledge, with the ability to face off to risk functions and front office in particular. Knowledge of regulations - Basel 3 Framework, Basel IV, CRR II / CRD V and FRTB, would be valuable. A demonstrable interest in the digitisation of investment banks, especially the Risk Technology landscape. Understanding of the capital markets ecosystem (sell side, buy side, FMIs, service providers, vendors). Financial risk management skills and knowledge of systems and data to support the industry respond to UK and European regulation to manage climate risk. A point of view on how the investment banking industry will continue to evolve and how the technology, innovation and FinTech landscape will shape the future. Technical skills Large scale programme delivery (Agile, DevOps, waterfall) - SCRUM qualifications would be beneficial. Experience of using agile delivery tools such as JIRA, Pivotal, Collab, Confluence. Experience of engineering based on the likes of SQL, SSIS, Python, Java, Scala, XML/FpML and Power BI. Data architecture, data lineage including an understanding of AI. Testing/quality engineering; experience of test automation will be beneficial. Process Automation, BPM and Digital Platforms, e.g. Pega. Cloud technology (knowledge of any or all of Azure, AWS and Google would be beneficial). Experience of handling information security and privacy challenges. Interest and awareness in emerging technologies. Experience of vendor packages. The following are of particular interest: An appreciation of Artificial Intelligence and Machine Learning. Academic and prior experience A university degree, 2:1 (or equivalent) or above is usually preferred, however we would be open to outstanding candidates who may have followed an alternative academic path. What working at EY offers We offer a competitive remuneration package where you'll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around. Opportunities to develop new skills and progress your career. The freedom and flexibility to handle your role in a way that's right for you. About EY As a global provider of assurance, tax, transaction and advisory services, we're using the finance products, expertise and systems we've developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now.
Feb 13, 2025
Full time
Banking & Capital Markets, Senior Consultant, Risk Technology Consulting FS Location: London Other locations: Primary Location Only Date: 11 Jan 2025 Requisition ID: Our UK Capital Markets technology and data capability helps our investment banking clients to deliver complex business and regulatory transformation, enabled by technology. The opportunity EY has a market leading Risk practice which requires a strong data and technology focus to deliver strategic future proof solutions with a control and efficiency lens. This presents an opportunity for Technology Consulting to support our clients in helping them to articulate their technology and data strategy and implement their transformations by harnessing the power of their data, identifying business enabling technology tools and capabilities and streamlining their technology estates. You will have the opportunity to work on business-critical engagements. In recent years we have helped investment banks improve their compliance with regulations such as the Basel 3 Regulatory Framework, FRTB and BCBS 239, and prepare for upcoming regulation around Liquidity and Interest Rate Risk and supporting our clients in leverage how to deploy AI in their businesses responsibly. As we look to the future prudential regulation will increasingly have a Climate Risk component, and EY have been recognised as leaders in ESG and sustainability consulting. We also help banks to become more profitable, either by developing new revenue streams, or crucially, by reducing costs. While we predominantly serve the UK market, our clients are global, and we collaborate extensively with our fellow capital markets teams in EMEIA, the US and APAC. We come at transformation problems in the following ways with respect to technology: We are highly skilled at delivering and overseeing large scale technology change - from inception and requirements definition through to operational readiness. We prefer an agile methodology but are happy to work in whatever ways our client's demand. We are increasingly bringing technology assets to clients to help accelerate transformation. Our technology assets include proprietary EY tools as well as best-of-breed vendor tools. We deploy team members from on-shore, near-shore and off-shore teams, and often work alongside our major alliance partners, such as Microsoft, IBM, Snowflake, Moody's, Service Now and Pega to deploy solutions. Increasingly we collaborate with FinTech firms too. We are passionate about keeping pace with the latest emerging technology. We have recently invested in senior hires in Cloud, Digital, Intelligent Automation and AI. But we aren't interested in technology for the sake of technology - we combine the tech mindset with EY's deep business and regulatory knowledge in order to deploy technology intelligently to solve business problems. We are always mindful of the role we and our clients play in relation to long term sustainability and the drive to help financial services become a low carbon industry. We are already advising clients on sustainability and the enabling role that data and technology play. We are looking for Risk Technology Senior Consultants to join our team due to high demand and expected growth. Do you want to engage your mind? Then join EY to gain experiences that will last a lifetime. Your key responsibilities Engagement delivery: roles vary from engagement to engagement, but are likely to include techno-functional analysis, solution and data architecture, solution design, and end to end implementation management. Solution development: contributing in a number of ways to the solutions that we bring to market to address the needs of our client. This could entail research, design of prototypes, software engineering and testing. Business development: we encourage the development of long-term trusted advisor relationships with our clients at an early stage in your career. You will also work on proposals and, from time to time, support thought leadership that we issue to the market. There are three sets of skills required for successful candidates - commercial and interpersonal skills, investment banking knowledge and technology domain expertise. We recognise that Senior Consultants are unlikely to have had the opportunity to demonstrate all the skills listed below in their careers to date. Commercial and interpersonal skills Ability to manage multiple stakeholder communities with varying levels of experience. Identifying opportunities for and securing new business, including leading proposals and bid teams. Ability to demonstrate strong collaboration across a wide spectrum of colleagues, including internationally. A proven track record of working with offshore teams would be a major benefit. High level of drive, commitment to achieving solutions and ability to work under pressure. Ability to engage with our clients and build strong, collaborative relationships. Intellectual strength / flexibility to rapidly understand complex problems, apply critical thinking, and rationalise these into workable solutions which can then be delivered. Appreciation of EY's solutions / go to market abilities and how these service client needs. A demonstrable commitment to diversity and inclusiveness. Strong understanding of Risk Transformation and Financial Risk and Non-Financial Risk business process. Strong product knowledge, with the ability to face off to risk functions and front office in particular. Knowledge of regulations - Basel 3 Framework, Basel IV, CRR II / CRD V and FRTB, would be valuable. A demonstrable interest in the digitisation of investment banks, especially the Risk Technology landscape. Understanding of the capital markets ecosystem (sell side, buy side, FMIs, service providers, vendors). Financial risk management skills and knowledge of systems and data to support the industry respond to UK and European regulation to manage climate risk. A point of view on how the investment banking industry will continue to evolve and how the technology, innovation and FinTech landscape will shape the future. Technical skills Large scale programme delivery (Agile, DevOps, waterfall) - SCRUM qualifications would be beneficial. Experience of using agile delivery tools such as JIRA, Pivotal, Collab, Confluence. Experience of engineering based on the likes of SQL, SSIS, Python, Java, Scala, XML/FpML and Power BI. Data architecture, data lineage including an understanding of AI. Testing/quality engineering; experience of test automation will be beneficial. Process Automation, BPM and Digital Platforms, e.g. Pega. Cloud technology (knowledge of any or all of Azure, AWS and Google would be beneficial). Experience of handling information security and privacy challenges. Interest and awareness in emerging technologies. Experience of vendor packages. The following are of particular interest: An appreciation of Artificial Intelligence and Machine Learning. Academic and prior experience A university degree, 2:1 (or equivalent) or above is usually preferred, however we would be open to outstanding candidates who may have followed an alternative academic path. What working at EY offers We offer a competitive remuneration package where you'll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around. Opportunities to develop new skills and progress your career. The freedom and flexibility to handle your role in a way that's right for you. About EY As a global provider of assurance, tax, transaction and advisory services, we're using the finance products, expertise and systems we've developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now.
Contract Type: Regular Schedule: 35 Job ID: R86904 Senior Software Engineer II-Hybrid Do you want to be part of building the Future of ML Infrastructure? Are you a self-starter and enjoy collaboration? About the Business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation, and Customer Data Management. You can learn more about LexisNexis Risk at the link below: LexisNexis Risk . About the team: You will be working with a team of passionate Software Engineers, Data Scientists, and other stakeholders within the business. About the role: As a Senior Software Engineer on our ML/Analytics Platform Team, you will be at the forefront of building and scaling the infrastructure that powers our machine learning initiatives. Your primary focus will be on designing, developing, maintaining, and improving the customer-facing training pipeline and systems to efficiently build, train, and monitor models that perform high volumes of fraud detection. While you won't be directly developing ML models straight away, a strong understanding of the machine learning lifecycle and its challenges will be crucial for building effective and impactful solutions. You will have the opportunity to impact a significant number of customer-deployed models that run against huge numbers of transactions and users daily. You'll also mentor and guide junior engineers, fostering a culture of learning and innovation. Responsibilities: Design, develop, improve, and maintain robust, scalable software systems and tools that form the foundation of our ML/Analytics Platform Team, including customer-facing model training pipelines and monitoring systems. Collaborate closely with data scientists, ML engineers, and infrastructure teams to understand their needs and translate them into effective technical solutions. Develop and maintain APIs and services that enable seamless integration between different components of the ML ecosystem. Optimize the performance and reliability of our ML infrastructure, ensuring it can handle the demands of high-volume, low-latency applications. Evangelize best practices for software development, code quality, testing, and deployment within the ML platform team. Stay informed about the latest trends and technologies in software engineering, cloud infrastructure, and the ML/Analytics ecosystem, identifying opportunities to improve our platform. Mentor and guide junior engineers, sharing your expertise and helping them develop their technical skills. Requirements: Be a highly skilled software engineer with industry experience building and maintaining large-scale, distributed systems in production environments. Proficient in Python and/or Java, with a strong understanding of software design principles and best practices. Possess problem-solving skills with a passion for building high-quality, reliable, and scalable systems. Be able to work effectively with both technical and non-technical stakeholders; you will be a collaborator and have excellent communication skills. An advanced degree (MSc or PhD) in a quantitative field such as Computer Science, Engineering, Statistics, Mathematics, or Physics or equivalent. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. EEO is the Law Supplement. Pay Transparency.
Feb 09, 2025
Full time
Contract Type: Regular Schedule: 35 Job ID: R86904 Senior Software Engineer II-Hybrid Do you want to be part of building the Future of ML Infrastructure? Are you a self-starter and enjoy collaboration? About the Business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation, and Customer Data Management. You can learn more about LexisNexis Risk at the link below: LexisNexis Risk . About the team: You will be working with a team of passionate Software Engineers, Data Scientists, and other stakeholders within the business. About the role: As a Senior Software Engineer on our ML/Analytics Platform Team, you will be at the forefront of building and scaling the infrastructure that powers our machine learning initiatives. Your primary focus will be on designing, developing, maintaining, and improving the customer-facing training pipeline and systems to efficiently build, train, and monitor models that perform high volumes of fraud detection. While you won't be directly developing ML models straight away, a strong understanding of the machine learning lifecycle and its challenges will be crucial for building effective and impactful solutions. You will have the opportunity to impact a significant number of customer-deployed models that run against huge numbers of transactions and users daily. You'll also mentor and guide junior engineers, fostering a culture of learning and innovation. Responsibilities: Design, develop, improve, and maintain robust, scalable software systems and tools that form the foundation of our ML/Analytics Platform Team, including customer-facing model training pipelines and monitoring systems. Collaborate closely with data scientists, ML engineers, and infrastructure teams to understand their needs and translate them into effective technical solutions. Develop and maintain APIs and services that enable seamless integration between different components of the ML ecosystem. Optimize the performance and reliability of our ML infrastructure, ensuring it can handle the demands of high-volume, low-latency applications. Evangelize best practices for software development, code quality, testing, and deployment within the ML platform team. Stay informed about the latest trends and technologies in software engineering, cloud infrastructure, and the ML/Analytics ecosystem, identifying opportunities to improve our platform. Mentor and guide junior engineers, sharing your expertise and helping them develop their technical skills. Requirements: Be a highly skilled software engineer with industry experience building and maintaining large-scale, distributed systems in production environments. Proficient in Python and/or Java, with a strong understanding of software design principles and best practices. Possess problem-solving skills with a passion for building high-quality, reliable, and scalable systems. Be able to work effectively with both technical and non-technical stakeholders; you will be a collaborator and have excellent communication skills. An advanced degree (MSc or PhD) in a quantitative field such as Computer Science, Engineering, Statistics, Mathematics, or Physics or equivalent. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. EEO is the Law Supplement. Pay Transparency.
Senior Software Engineer II-Hybrid Do you want to be part of building the Future of ML Infrastructure? Are you a self-starter and enjoy collaboration? About the Business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation, and Customer Data Management. You can learn more about LexisNexis Risk at the link below, About the team: You will be working with a team of passionate Software Engineers, Data Scientists, and other stakeholders within the business. About the role: As a Senior Software Engineer on our ML/Analytics Platform Team, you will be at the forefront of building and scaling the infrastructure that powers our machine learning initiatives. Your primary focus will be on designing, developing, maintaining, and improving the customer-facing training pipeline and systems to efficiently build, train, and monitor models that perform high volumes of fraud detection. While you won't be directly developing ML models straight away, a strong understanding of the machine learning lifecycle and its challenges will be crucial for building effective and impactful solutions. You will have the opportunity to impact a significant number of customer-deployed models that run against huge numbers of transactions and users daily. You'll also mentor and guide junior engineers, fostering a culture of learning and innovation. Responsibilities: Design, develop, improve, and maintain robust, scalable software systems and tools that form the foundation of our ML/Analytics Platform Team, including customer-facing model training pipelines and monitoring systems. Collaborate closely with data scientists, ML engineers, and infrastructure teams to understand their needs and translate them into effective technical solutions. Develop and maintain APIs and services that enable seamless integration between different components of the ML ecosystem. Optimize the performance and reliability of our ML infrastructure, ensuring it can handle the demands of high-volume, low-latency applications. Evangelize best practices for software development, code quality, testing, and deployment within the ML platform team. Stay informed about the latest trends and technologies in software engineering, cloud infrastructure, and the ML/Analytics ecosystem, identifying opportunities to improve our platform. Mentor and guide junior engineers, sharing your expertise and helping them develop their technical skills. Requirements: Be a highly skilled software engineer with industry experience building and maintaining large-scale, distributed systems in production environments. Proficient in Python and/or Java, with a strong understanding of software design principles and best practices. Possess problem-solving skills with a passion for building high-quality, reliable, and scalable systems. Be able to work effectively with both technical and non-technical stakeholders, being a collaborator with excellent communication skills. An advanced degree (MSc or PhD) in a quantitative field such as Computer Science, Engineering, Statistics, Mathematics, or Physics or equivalent. Company: At LexisNexis Risk Solutions, our history and entrepreneurial spirit make us a rare combination. We never stop innovating, always looking for ways to leverage the power of insight through data and advanced analytics to help our customers solve problems, make better decisions, and improve operations. Our technologies, decision tools, and data services give our customers a clear advantage in evaluating and predicting risk and enhancing operational efficiency. Our businesses span the following sectors: Aviation Chemicals & Energy Collections & Recovery Corporations & Non-Profits Financial Services Government Healthcare HR Insurance Law Enforcement & Public Safety Tax
Feb 03, 2025
Full time
Senior Software Engineer II-Hybrid Do you want to be part of building the Future of ML Infrastructure? Are you a self-starter and enjoy collaboration? About the Business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation, and Customer Data Management. You can learn more about LexisNexis Risk at the link below, About the team: You will be working with a team of passionate Software Engineers, Data Scientists, and other stakeholders within the business. About the role: As a Senior Software Engineer on our ML/Analytics Platform Team, you will be at the forefront of building and scaling the infrastructure that powers our machine learning initiatives. Your primary focus will be on designing, developing, maintaining, and improving the customer-facing training pipeline and systems to efficiently build, train, and monitor models that perform high volumes of fraud detection. While you won't be directly developing ML models straight away, a strong understanding of the machine learning lifecycle and its challenges will be crucial for building effective and impactful solutions. You will have the opportunity to impact a significant number of customer-deployed models that run against huge numbers of transactions and users daily. You'll also mentor and guide junior engineers, fostering a culture of learning and innovation. Responsibilities: Design, develop, improve, and maintain robust, scalable software systems and tools that form the foundation of our ML/Analytics Platform Team, including customer-facing model training pipelines and monitoring systems. Collaborate closely with data scientists, ML engineers, and infrastructure teams to understand their needs and translate them into effective technical solutions. Develop and maintain APIs and services that enable seamless integration between different components of the ML ecosystem. Optimize the performance and reliability of our ML infrastructure, ensuring it can handle the demands of high-volume, low-latency applications. Evangelize best practices for software development, code quality, testing, and deployment within the ML platform team. Stay informed about the latest trends and technologies in software engineering, cloud infrastructure, and the ML/Analytics ecosystem, identifying opportunities to improve our platform. Mentor and guide junior engineers, sharing your expertise and helping them develop their technical skills. Requirements: Be a highly skilled software engineer with industry experience building and maintaining large-scale, distributed systems in production environments. Proficient in Python and/or Java, with a strong understanding of software design principles and best practices. Possess problem-solving skills with a passion for building high-quality, reliable, and scalable systems. Be able to work effectively with both technical and non-technical stakeholders, being a collaborator with excellent communication skills. An advanced degree (MSc or PhD) in a quantitative field such as Computer Science, Engineering, Statistics, Mathematics, or Physics or equivalent. Company: At LexisNexis Risk Solutions, our history and entrepreneurial spirit make us a rare combination. We never stop innovating, always looking for ways to leverage the power of insight through data and advanced analytics to help our customers solve problems, make better decisions, and improve operations. Our technologies, decision tools, and data services give our customers a clear advantage in evaluating and predicting risk and enhancing operational efficiency. Our businesses span the following sectors: Aviation Chemicals & Energy Collections & Recovery Corporations & Non-Profits Financial Services Government Healthcare HR Insurance Law Enforcement & Public Safety Tax
Company Description NBC Sports Next is where sports and technology intersect. We're a subdivision of NBC Sports and home to all NBCUniversal digital applications in sports and technology within our three groups: Youth & Recreational Sports; Golf; and Betting, Gaming & Emerging Media. At NBC Sports Next, we make playing sports better through innovative technology and immersive experiences for athletes, coaches, players and fans. We equip more than 30MM players, coaches, athletes, sports administrators and fans in 40 countries with more than 25 sports solution products, including SportsEngine, the largest youth sports club, league and team management platform; GolfNow, the leading online tee time marketplace and provider of golf course operations technology; GolfPass the ultimate golf membership that connects golfers to exclusive content, tee time credits, and coaching, tips; TeamUnify, swim team management services; GoMotion, sports and fitness business software solutions; and NBC Sports Edge, a leading platform for fantasy sports information and betting-focused tools. At NBC Sports Next we're fueled by our mission to innovate, create larger-than-life events and connect with sports fans through technology that provides the ultimate in immersive experiences. Golf fuses the team behind products and services like GolfNow, TeeOff and GolfPass, which better connects golfers and golf facilities around the world through innovative solutions like cloud-based golf course management and SmartPlay contactless technology and services that create optimum golfing experiences. Come join us as we work together as one team to innovate and deliver what's Next. Job Description Role Purpose: GolfNow/NBC Sports Digital are seeking to hire a DevOps Engineer. You'll be joining a dedicated, ambitious and diverse team who are focused on delivering operational excellence inside the NBC Sports Next organisation. You will work collaboratively with Engineering, Quality, Product and Security teams to build, deploy and operate GolfNow Products across Domestic and International. You will be responsible for automating and improving our build and deploy processes; monitoring and operations; public and private cloud infrastructure; troubleshooting and resolution across dev, test and production globally. This is a fantastic opportunity for an ambitious engineer to be involved in the world's largest golf technology company backed by Comcast/NBCUniversal/Sky with the opportunity to make a difference. RESPONSIBILITIES Job Duties: In delivering the key responsibilities of the role the Dev Ops Engineer will; Operational Support and Maintenance Using APM and other tools you will monitor production systems; remediating production issues and implementing performance/cost improvements Identify capacity and performance issues to ensure we meet our SLAs Documentation of services and processes Participate in on-call schedule Infrastructure Design, implement and manage production grade services in Public clouds (AWS/GCP) using a variety of technologies, ensuring geographic redundancy, security and best practices Build/manage large Kubernetes footprint deployed on Google Cloud Platform Install and manage web and backend services in a high throughput, multi-technology e-commerce environment Build/Deploy Design and implement CI/CD processes and tooling Ensure "shift-left" is implemented in our build and deploy processes in collaboration with Security teams Ensure pre-production environments are built and managed Perform deployments of high throughput revenue generating applications Innovation Work with the DevOps team to champion new processes, tools and technologies in collaboration with Engineering Constantly striving to find a better way Undertake other duties within the scope of the role as assigned. QUALIFICATIONS Basic Qualifications 2+ years working as an SRE/DevOps/Operations Engineer 2+ years working with Kubernetes in a production environment 2+ years Linux System administration experience (Redhat or Debian variants) 2+ years production experience configuring web servers e.g. IIS, Nginx, Apache 2+ years production experience working with a Public Cloud Provider (GCP) Production experience with CI/CD pipelines, e.g. Jenkins, Teamcity, Gitlab CI, Bamboo, Github Actions Proficient in a scripting language such as BASH, Perl, Python, Powershell etc Proficient with source control technologies; Git, TFS, SVN Strong problem-solving ability, attention to detail and ability to work from first principles Hands on experience with public cloud providers; GCP preferred Experience deploying and operating enterprise scale applications in high throughput production environments Hands on experience provisioning Infrastructure as Code with Terraform or CloudFormation Hands on experience of managing services with configuration management tools, Ansible preferred Strong experience in Continuous Integration tools such as Teamcity, Jenkins, Github Actions or Gitlab CI Experience building production grade services with fault tolerance for zonal and regional issues in public clouds Experience capturing metrics and monitoring cloud infrastructure A working understanding of code and scripting (Java, JavaScript, PHP, Nodejs, Golang, .NET, Python etc.) Experience in a collaborative, cross-functional team environment using source control tools like git and git-flow branching strategies Desired Qualifications Experience with Redis, Elasticsearch, RabbitMQ and MongoDB Experience with APM and alerting tools (AppDynamics / Datadog / NewRelic / OpsGenie / PagerDuty) Proficient with configuration management tools such as Ansible, Chef, Puppet Experience with software development and supporting developers Build automation/CI tooling including one of the following: Jenkins Teamcity Bamboo Gitlab CI Github Actions Experience with Infrastructure as a Code tools e.g. Terraform / CloudFormation Experience with WAF/CDN services such as Cloudflare/Cloudfront/Akamai/Fastly etc Knowledge of load balancing software and hardware (F5, HAProxy, Nginx, GCP GLB, AWS ELB/ALB) Additional Job Requirements Interested candidates must; Submit a resume/CV through to be considered. Participate in a rotational "on call" schedule (24 hours a day / 7 days a week) This role is also suitable for remote working We are proud to be a disability confident employer and we'll do everything we can to support you during your application. If you need us to make any adjustments to our recruitment process, speak to our recruitment team who will be happy to support you. Additional Information NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. NBCUniversal will consider for employment qualified applicants with criminal histories in a manner consistent with relevant legal requirements, including the City of Los Angeles Fair Chance Initiative For Hiring Ordinance, where applicable. If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access as a result of your disability. You can request reasonable accommodations in the US by calling 1- and in the UK by calling .
Sep 24, 2022
Full time
Company Description NBC Sports Next is where sports and technology intersect. We're a subdivision of NBC Sports and home to all NBCUniversal digital applications in sports and technology within our three groups: Youth & Recreational Sports; Golf; and Betting, Gaming & Emerging Media. At NBC Sports Next, we make playing sports better through innovative technology and immersive experiences for athletes, coaches, players and fans. We equip more than 30MM players, coaches, athletes, sports administrators and fans in 40 countries with more than 25 sports solution products, including SportsEngine, the largest youth sports club, league and team management platform; GolfNow, the leading online tee time marketplace and provider of golf course operations technology; GolfPass the ultimate golf membership that connects golfers to exclusive content, tee time credits, and coaching, tips; TeamUnify, swim team management services; GoMotion, sports and fitness business software solutions; and NBC Sports Edge, a leading platform for fantasy sports information and betting-focused tools. At NBC Sports Next we're fueled by our mission to innovate, create larger-than-life events and connect with sports fans through technology that provides the ultimate in immersive experiences. Golf fuses the team behind products and services like GolfNow, TeeOff and GolfPass, which better connects golfers and golf facilities around the world through innovative solutions like cloud-based golf course management and SmartPlay contactless technology and services that create optimum golfing experiences. Come join us as we work together as one team to innovate and deliver what's Next. Job Description Role Purpose: GolfNow/NBC Sports Digital are seeking to hire a DevOps Engineer. You'll be joining a dedicated, ambitious and diverse team who are focused on delivering operational excellence inside the NBC Sports Next organisation. You will work collaboratively with Engineering, Quality, Product and Security teams to build, deploy and operate GolfNow Products across Domestic and International. You will be responsible for automating and improving our build and deploy processes; monitoring and operations; public and private cloud infrastructure; troubleshooting and resolution across dev, test and production globally. This is a fantastic opportunity for an ambitious engineer to be involved in the world's largest golf technology company backed by Comcast/NBCUniversal/Sky with the opportunity to make a difference. RESPONSIBILITIES Job Duties: In delivering the key responsibilities of the role the Dev Ops Engineer will; Operational Support and Maintenance Using APM and other tools you will monitor production systems; remediating production issues and implementing performance/cost improvements Identify capacity and performance issues to ensure we meet our SLAs Documentation of services and processes Participate in on-call schedule Infrastructure Design, implement and manage production grade services in Public clouds (AWS/GCP) using a variety of technologies, ensuring geographic redundancy, security and best practices Build/manage large Kubernetes footprint deployed on Google Cloud Platform Install and manage web and backend services in a high throughput, multi-technology e-commerce environment Build/Deploy Design and implement CI/CD processes and tooling Ensure "shift-left" is implemented in our build and deploy processes in collaboration with Security teams Ensure pre-production environments are built and managed Perform deployments of high throughput revenue generating applications Innovation Work with the DevOps team to champion new processes, tools and technologies in collaboration with Engineering Constantly striving to find a better way Undertake other duties within the scope of the role as assigned. QUALIFICATIONS Basic Qualifications 2+ years working as an SRE/DevOps/Operations Engineer 2+ years working with Kubernetes in a production environment 2+ years Linux System administration experience (Redhat or Debian variants) 2+ years production experience configuring web servers e.g. IIS, Nginx, Apache 2+ years production experience working with a Public Cloud Provider (GCP) Production experience with CI/CD pipelines, e.g. Jenkins, Teamcity, Gitlab CI, Bamboo, Github Actions Proficient in a scripting language such as BASH, Perl, Python, Powershell etc Proficient with source control technologies; Git, TFS, SVN Strong problem-solving ability, attention to detail and ability to work from first principles Hands on experience with public cloud providers; GCP preferred Experience deploying and operating enterprise scale applications in high throughput production environments Hands on experience provisioning Infrastructure as Code with Terraform or CloudFormation Hands on experience of managing services with configuration management tools, Ansible preferred Strong experience in Continuous Integration tools such as Teamcity, Jenkins, Github Actions or Gitlab CI Experience building production grade services with fault tolerance for zonal and regional issues in public clouds Experience capturing metrics and monitoring cloud infrastructure A working understanding of code and scripting (Java, JavaScript, PHP, Nodejs, Golang, .NET, Python etc.) Experience in a collaborative, cross-functional team environment using source control tools like git and git-flow branching strategies Desired Qualifications Experience with Redis, Elasticsearch, RabbitMQ and MongoDB Experience with APM and alerting tools (AppDynamics / Datadog / NewRelic / OpsGenie / PagerDuty) Proficient with configuration management tools such as Ansible, Chef, Puppet Experience with software development and supporting developers Build automation/CI tooling including one of the following: Jenkins Teamcity Bamboo Gitlab CI Github Actions Experience with Infrastructure as a Code tools e.g. Terraform / CloudFormation Experience with WAF/CDN services such as Cloudflare/Cloudfront/Akamai/Fastly etc Knowledge of load balancing software and hardware (F5, HAProxy, Nginx, GCP GLB, AWS ELB/ALB) Additional Job Requirements Interested candidates must; Submit a resume/CV through to be considered. Participate in a rotational "on call" schedule (24 hours a day / 7 days a week) This role is also suitable for remote working We are proud to be a disability confident employer and we'll do everything we can to support you during your application. If you need us to make any adjustments to our recruitment process, speak to our recruitment team who will be happy to support you. Additional Information NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. NBCUniversal will consider for employment qualified applicants with criminal histories in a manner consistent with relevant legal requirements, including the City of Los Angeles Fair Chance Initiative For Hiring Ordinance, where applicable. If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access as a result of your disability. You can request reasonable accommodations in the US by calling 1- and in the UK by calling .
Job Description Where you'll fit in & what our team goals are.... In this role you will be following an agreed method, development and enhancement of software, deployment preparation, bug fixing and 3rd level BAU support for Columbia Threadneedle applications. It will be your role to ensure high quality solutions and processes are developed and implemented, conforming to suitable technology and product sets. Responsibilities How you'll spend your time.... To work within the wider Columbia Threadneedle development team 20% - Co-ordinating business vertical development team activities, ensuring best practice and agreed SDLC are followe 20% - To analyse solution options, provide written design specifications and develop new software or enhancements to existing software as part of a project delivery or smaller change initiatives 60% - To be hands on keyboard developer. This includes (but is not limited to) releases of functionality, data loads, unit testing etc. This will include the following processes, forming the full Project Life Cycle: Technical connection between the various IT teams and staff Technical connection between US and India tech teams and UK based tech teams Analysis and design of business and technical requirements Completion of functional and technical Specifications Development / Configuration / Scripting and Unit Testing Participation in end-to-end application testing Assisting with regression testing Resolving issues found during testing Assisting with User Acceptance Testing (UAT) Assisting with deployments to production Full life cycle project delivery Post implementation support Maintain awareness of emerging technologies and peer IT strategies 3rd line application support for legacy and new applications. Required Qualifications To be successful in this role you will have.... The ideal candidate will have previous development experience, a good working knowledge of cloud technologies with proven experience in a similar role. AWS services expertise, Python, Java/Scala, UI expertise (React/Angular), DevExpress experience and a solid financial background understanding are essential Previous experience in a software engineering/development role Experience of full development lifecycle Strong understanding of data structures, databases and data access Strong problem-solving skills and the ability to develop innovative solutions to technical problems Ability to work as part of a team and communicate at technical and non-technical levels Keen interest in financial markets and the desire to pursue a career in this area Previous experience of working within a financial institution Good knowledge of financial instruments within the Front\Middle\Back Office operational models\environments Experience of multiple software development lifecycle methodologies Good knowledge of financial instruments and the Front Office operational model High level of technical IT expertise (with a slant towards Microsoft technologies: Windows 10, Windows Server 2016, IIS, SQL Server, SSRS, SSIS, SSMS, C#.Net (versions 2.0 to 4.6), Visual Studio 2019, MVC, ASP.NET, WPF, WCF, etc.); Relational / object database implementation, modelling and integration Internet / legacy system / client-server architectures Awareness of Project Management methodologies, e.g. PRINCE2, Kanban Preferred Qualifications If you also had this, it would be great.... Previous buy side financial services experience VBA (for legacy application work) Front Office Order Management Systems (Blackrock Aladdin) NANT, TDD, NUnit, Fitnesse About Our Company You'll find the promise we make to our clients is the same one we make to our employees: Your success is our priority. Here, you'll find growth and career opportunities across all our businesses. We're intentionally built to help you succeed. Our reach is expansive with a global team of 2,000 people working together. Our expertise is diverse with more than 450 investment professionals sharing global perspectives across all major asset classes and markets. Our clients have access to a broad array of investment strategies and we have the capability to create bespoke solutions matched to clients' specific requirements. Columbia Threadneedle is a people business and we recognise that our success is due to our talented people, who bring diversity of thought, complementary skills and capabilities. We are committed to providing an inclusive workplace that supports the diversity of our employees and reflects our broader communities and client-base. We welcome applications from returners to the industry. We appreciate that work-life balance is an important factor for many when considering their next move so please discuss any flexible working requirements directly with your recruiter.
Dec 06, 2021
Full time
Job Description Where you'll fit in & what our team goals are.... In this role you will be following an agreed method, development and enhancement of software, deployment preparation, bug fixing and 3rd level BAU support for Columbia Threadneedle applications. It will be your role to ensure high quality solutions and processes are developed and implemented, conforming to suitable technology and product sets. Responsibilities How you'll spend your time.... To work within the wider Columbia Threadneedle development team 20% - Co-ordinating business vertical development team activities, ensuring best practice and agreed SDLC are followe 20% - To analyse solution options, provide written design specifications and develop new software or enhancements to existing software as part of a project delivery or smaller change initiatives 60% - To be hands on keyboard developer. This includes (but is not limited to) releases of functionality, data loads, unit testing etc. This will include the following processes, forming the full Project Life Cycle: Technical connection between the various IT teams and staff Technical connection between US and India tech teams and UK based tech teams Analysis and design of business and technical requirements Completion of functional and technical Specifications Development / Configuration / Scripting and Unit Testing Participation in end-to-end application testing Assisting with regression testing Resolving issues found during testing Assisting with User Acceptance Testing (UAT) Assisting with deployments to production Full life cycle project delivery Post implementation support Maintain awareness of emerging technologies and peer IT strategies 3rd line application support for legacy and new applications. Required Qualifications To be successful in this role you will have.... The ideal candidate will have previous development experience, a good working knowledge of cloud technologies with proven experience in a similar role. AWS services expertise, Python, Java/Scala, UI expertise (React/Angular), DevExpress experience and a solid financial background understanding are essential Previous experience in a software engineering/development role Experience of full development lifecycle Strong understanding of data structures, databases and data access Strong problem-solving skills and the ability to develop innovative solutions to technical problems Ability to work as part of a team and communicate at technical and non-technical levels Keen interest in financial markets and the desire to pursue a career in this area Previous experience of working within a financial institution Good knowledge of financial instruments within the Front\Middle\Back Office operational models\environments Experience of multiple software development lifecycle methodologies Good knowledge of financial instruments and the Front Office operational model High level of technical IT expertise (with a slant towards Microsoft technologies: Windows 10, Windows Server 2016, IIS, SQL Server, SSRS, SSIS, SSMS, C#.Net (versions 2.0 to 4.6), Visual Studio 2019, MVC, ASP.NET, WPF, WCF, etc.); Relational / object database implementation, modelling and integration Internet / legacy system / client-server architectures Awareness of Project Management methodologies, e.g. PRINCE2, Kanban Preferred Qualifications If you also had this, it would be great.... Previous buy side financial services experience VBA (for legacy application work) Front Office Order Management Systems (Blackrock Aladdin) NANT, TDD, NUnit, Fitnesse About Our Company You'll find the promise we make to our clients is the same one we make to our employees: Your success is our priority. Here, you'll find growth and career opportunities across all our businesses. We're intentionally built to help you succeed. Our reach is expansive with a global team of 2,000 people working together. Our expertise is diverse with more than 450 investment professionals sharing global perspectives across all major asset classes and markets. Our clients have access to a broad array of investment strategies and we have the capability to create bespoke solutions matched to clients' specific requirements. Columbia Threadneedle is a people business and we recognise that our success is due to our talented people, who bring diversity of thought, complementary skills and capabilities. We are committed to providing an inclusive workplace that supports the diversity of our employees and reflects our broader communities and client-base. We welcome applications from returners to the industry. We appreciate that work-life balance is an important factor for many when considering their next move so please discuss any flexible working requirements directly with your recruiter.
A career in our Technology Consulting practice, within General Consulting services, will provide you with the opportunity to help clients seize essential advantages by working alongside business leaders to solve their toughest problems and capture their greatest opportunities. We work with some of the world's largest and most complex companies to understand their unique business issues and opportunities in an ever changing environment. We help create sustainable change by stimulating innovation, unlocking data possibilities, navigating risk and regulatory complexity, optimising deals, and aligning costs with business strategy to create a competitive advantage. As a member of the team, you'll work with clients to define their vision and plan how to get there. We deliver the technological solutions organisations need to compete and grow and build a lasting legacy of improvement and performance, partnering with best in class technologies and solution sets. In joining, you'll help our clients understand and evolve the way they align Information Technology with their business strategy, create integrated end to end solutions, and use enterprise applications to solve complex business problems. Requirements Management and Architecture ● Programme Management, large scale transformation programmes ● Execution of Agile architecture definition in an Agile delivery model ● E2E Architecture definition and strategy experience ● DevOps strategy and related Op model experience ● Integration Strategy and Implementation designing and delivering modular, decoupled architectures over XaaS and on premise ecosystems Digital Architecture Solid understanding of the technology marketing cloud native offerings, common SaaS platforms and IaaS solutions in the market A proven track record in designing and implementing both Enterprise-wide data and Integration strategies, approaches, roadmaps and implementations Experience of one or more IaaS solution such as Mulesoft, Informatica IICS, Azure Integration services etc Demonstrable understanding and experience of designing modern digital architectures, including JamStack, modern JavaScript applications (e.g. React, Angular, Vue), mobile architectures and development approaches (including native, hybrid, PWA), cloud native architectures on key cloud platforms (AWS, GCP, Azure) and headless/decoupled/coupled Architecture as well as wider modular and composable architecture patterns. Good all-round understanding of modern software development in a Digital environment, including awareness of best practices and standards in accessibility, security and user experience Awareness of best practice in enterprise integration, microservices, API development, security and scalability - ideally with experience/certification in one or more architecture methodologies Hands on ability on any of the following: Java, C#, Python, PHP, JavaScript, HTML, JavaScript, Node.JS, React, Angular, SASS, Less Consulting In Consulting we deliver practical, far-sighted advice that gets straight to the heart of clients' business issues and delivers amazing results by helping our clients improve the way they operate, reduce costs, manage risks, leverage talent or fundamentally change the way they do business, the work you do will be all about helping organisations of all shapes and sizes work smarter and grow faster. You could find yourself working with household names in a diverse range of industries - everyone from big-name broadcasters and high-street banks to multinational telecoms operators and energy companies. The skills we look for in future employees All our people need to demonstrate the skills and behaviours that support us in delivering our business strategy. This is important to the work we do for our business, and our clients. These skills and behaviours make up our global leadership framework, 'The PwC Professional' and are made up of five core attributes; whole leadership, technical capabilities, business acumen, global acumen and relationships. Learn more here: The Deal We want all of our people to feel empowered to be the best that they can be, which is why we have 'The Deal'. Find out more about our firmwide Employee Value Proposition: Diversity Valuing Difference. Driving Inclusion. We work in a changing world which offers great opportunities for people with diverse backgrounds and experiences. We seek to attract and employ the best people from the widest talent pool because creating value through diversity is what makes us strong as a business, enabling us to solve important problems and deliver value to our clients. We encourage an inclusive culture where people can be themselves, are valued for their strengths and are empowered to be the best they can be. As an organisation with an increasingly agile workforce, we also support different ways of working offering flexible working arrangements. Learn more here about our work to support an inclusive culture.
Dec 03, 2021
Full time
A career in our Technology Consulting practice, within General Consulting services, will provide you with the opportunity to help clients seize essential advantages by working alongside business leaders to solve their toughest problems and capture their greatest opportunities. We work with some of the world's largest and most complex companies to understand their unique business issues and opportunities in an ever changing environment. We help create sustainable change by stimulating innovation, unlocking data possibilities, navigating risk and regulatory complexity, optimising deals, and aligning costs with business strategy to create a competitive advantage. As a member of the team, you'll work with clients to define their vision and plan how to get there. We deliver the technological solutions organisations need to compete and grow and build a lasting legacy of improvement and performance, partnering with best in class technologies and solution sets. In joining, you'll help our clients understand and evolve the way they align Information Technology with their business strategy, create integrated end to end solutions, and use enterprise applications to solve complex business problems. Requirements Management and Architecture ● Programme Management, large scale transformation programmes ● Execution of Agile architecture definition in an Agile delivery model ● E2E Architecture definition and strategy experience ● DevOps strategy and related Op model experience ● Integration Strategy and Implementation designing and delivering modular, decoupled architectures over XaaS and on premise ecosystems Digital Architecture Solid understanding of the technology marketing cloud native offerings, common SaaS platforms and IaaS solutions in the market A proven track record in designing and implementing both Enterprise-wide data and Integration strategies, approaches, roadmaps and implementations Experience of one or more IaaS solution such as Mulesoft, Informatica IICS, Azure Integration services etc Demonstrable understanding and experience of designing modern digital architectures, including JamStack, modern JavaScript applications (e.g. React, Angular, Vue), mobile architectures and development approaches (including native, hybrid, PWA), cloud native architectures on key cloud platforms (AWS, GCP, Azure) and headless/decoupled/coupled Architecture as well as wider modular and composable architecture patterns. Good all-round understanding of modern software development in a Digital environment, including awareness of best practices and standards in accessibility, security and user experience Awareness of best practice in enterprise integration, microservices, API development, security and scalability - ideally with experience/certification in one or more architecture methodologies Hands on ability on any of the following: Java, C#, Python, PHP, JavaScript, HTML, JavaScript, Node.JS, React, Angular, SASS, Less Consulting In Consulting we deliver practical, far-sighted advice that gets straight to the heart of clients' business issues and delivers amazing results by helping our clients improve the way they operate, reduce costs, manage risks, leverage talent or fundamentally change the way they do business, the work you do will be all about helping organisations of all shapes and sizes work smarter and grow faster. You could find yourself working with household names in a diverse range of industries - everyone from big-name broadcasters and high-street banks to multinational telecoms operators and energy companies. The skills we look for in future employees All our people need to demonstrate the skills and behaviours that support us in delivering our business strategy. This is important to the work we do for our business, and our clients. These skills and behaviours make up our global leadership framework, 'The PwC Professional' and are made up of five core attributes; whole leadership, technical capabilities, business acumen, global acumen and relationships. Learn more here: The Deal We want all of our people to feel empowered to be the best that they can be, which is why we have 'The Deal'. Find out more about our firmwide Employee Value Proposition: Diversity Valuing Difference. Driving Inclusion. We work in a changing world which offers great opportunities for people with diverse backgrounds and experiences. We seek to attract and employ the best people from the widest talent pool because creating value through diversity is what makes us strong as a business, enabling us to solve important problems and deliver value to our clients. We encourage an inclusive culture where people can be themselves, are valued for their strengths and are empowered to be the best they can be. As an organisation with an increasingly agile workforce, we also support different ways of working offering flexible working arrangements. Learn more here about our work to support an inclusive culture.
A career in our Technology Consulting practice, within General Consulting services, will provide you with the opportunity to help clients seize essential advantages by working alongside business leaders to solve their toughest problems and capture their greatest opportunities. We work with some of the world's largest and most complex companies to understand their unique business issues and opportunities in an ever changing environment. We help create sustainable change by stimulating innovation, unlocking data possibilities, navigating risk and regulatory complexity, optimising deals, and aligning costs with business strategy to create a competitive advantage. As a member of the team, you'll work with clients to define their vision and plan how to get there. We deliver the technological solutions organisations need to compete and grow and build a lasting legacy of improvement and performance, partnering with best in class technologies and solution sets. In joining, you'll help our clients understand and evolve the way they align Information Technology with their business strategy, create integrated end to end solutions, and use enterprise applications to solve complex business problems. Requirements Management and Architecture ● Programme Management, large scale transformation programmes ● Execution of Agile architecture definition in an Agile delivery model ● E2E Architecture definition and strategy experience ● DevOps strategy and related Op model experience ● Integration Strategy and Implementation designing and delivering modular, decoupled architectures over XaaS and on premise ecosystems Digital Architecture Solid understanding of the technology marketing cloud native offerings, common SaaS platforms and IaaS solutions in the market A proven track record in designing and implementing both Enterprise-wide data and Integration strategies, approaches, roadmaps and implementations Experience of one or more IaaS solution such as Mulesoft, Informatica IICS, Azure Integration services etc Demonstrable understanding and experience of designing modern digital architectures, including JamStack, modern JavaScript applications (e.g. React, Angular, Vue), mobile architectures and development approaches (including native, hybrid, PWA), cloud native architectures on key cloud platforms (AWS, GCP, Azure) and headless/decoupled/coupled Architecture as well as wider modular and composable architecture patterns. Good all-round understanding of modern software development in a Digital environment, including awareness of best practices and standards in accessibility, security and user experience Awareness of best practice in enterprise integration, microservices, API development, security and scalability - ideally with experience/certification in one or more architecture methodologies Hands on ability on any of the following: Java, C#, Python, PHP, JavaScript, HTML, JavaScript, Node.JS, React, Angular, SASS, Less Consulting In Consulting we deliver practical, far-sighted advice that gets straight to the heart of clients' business issues and delivers amazing results by helping our clients improve the way they operate, reduce costs, manage risks, leverage talent or fundamentally change the way they do business, the work you do will be all about helping organisations of all shapes and sizes work smarter and grow faster. You could find yourself working with household names in a diverse range of industries - everyone from big-name broadcasters and high-street banks to multinational telecoms operators and energy companies. The skills we look for in future employees All our people need to demonstrate the skills and behaviours that support us in delivering our business strategy. This is important to the work we do for our business, and our clients. These skills and behaviours make up our global leadership framework, 'The PwC Professional' and are made up of five core attributes; whole leadership, technical capabilities, business acumen, global acumen and relationships. Learn more here: The Deal We want all of our people to feel empowered to be the best that they can be, which is why we have 'The Deal'. Find out more about our firmwide Employee Value Proposition: Diversity Valuing Difference. Driving Inclusion. We work in a changing world which offers great opportunities for people with diverse backgrounds and experiences. We seek to attract and employ the best people from the widest talent pool because creating value through diversity is what makes us strong as a business, enabling us to solve important problems and deliver value to our clients. We encourage an inclusive culture where people can be themselves, are valued for their strengths and are empowered to be the best they can be. As an organisation with an increasingly agile workforce, we also support different ways of working offering flexible working arrangements. Learn more here about our work to support an inclusive culture.
Dec 02, 2021
Full time
A career in our Technology Consulting practice, within General Consulting services, will provide you with the opportunity to help clients seize essential advantages by working alongside business leaders to solve their toughest problems and capture their greatest opportunities. We work with some of the world's largest and most complex companies to understand their unique business issues and opportunities in an ever changing environment. We help create sustainable change by stimulating innovation, unlocking data possibilities, navigating risk and regulatory complexity, optimising deals, and aligning costs with business strategy to create a competitive advantage. As a member of the team, you'll work with clients to define their vision and plan how to get there. We deliver the technological solutions organisations need to compete and grow and build a lasting legacy of improvement and performance, partnering with best in class technologies and solution sets. In joining, you'll help our clients understand and evolve the way they align Information Technology with their business strategy, create integrated end to end solutions, and use enterprise applications to solve complex business problems. Requirements Management and Architecture ● Programme Management, large scale transformation programmes ● Execution of Agile architecture definition in an Agile delivery model ● E2E Architecture definition and strategy experience ● DevOps strategy and related Op model experience ● Integration Strategy and Implementation designing and delivering modular, decoupled architectures over XaaS and on premise ecosystems Digital Architecture Solid understanding of the technology marketing cloud native offerings, common SaaS platforms and IaaS solutions in the market A proven track record in designing and implementing both Enterprise-wide data and Integration strategies, approaches, roadmaps and implementations Experience of one or more IaaS solution such as Mulesoft, Informatica IICS, Azure Integration services etc Demonstrable understanding and experience of designing modern digital architectures, including JamStack, modern JavaScript applications (e.g. React, Angular, Vue), mobile architectures and development approaches (including native, hybrid, PWA), cloud native architectures on key cloud platforms (AWS, GCP, Azure) and headless/decoupled/coupled Architecture as well as wider modular and composable architecture patterns. Good all-round understanding of modern software development in a Digital environment, including awareness of best practices and standards in accessibility, security and user experience Awareness of best practice in enterprise integration, microservices, API development, security and scalability - ideally with experience/certification in one or more architecture methodologies Hands on ability on any of the following: Java, C#, Python, PHP, JavaScript, HTML, JavaScript, Node.JS, React, Angular, SASS, Less Consulting In Consulting we deliver practical, far-sighted advice that gets straight to the heart of clients' business issues and delivers amazing results by helping our clients improve the way they operate, reduce costs, manage risks, leverage talent or fundamentally change the way they do business, the work you do will be all about helping organisations of all shapes and sizes work smarter and grow faster. You could find yourself working with household names in a diverse range of industries - everyone from big-name broadcasters and high-street banks to multinational telecoms operators and energy companies. The skills we look for in future employees All our people need to demonstrate the skills and behaviours that support us in delivering our business strategy. This is important to the work we do for our business, and our clients. These skills and behaviours make up our global leadership framework, 'The PwC Professional' and are made up of five core attributes; whole leadership, technical capabilities, business acumen, global acumen and relationships. Learn more here: The Deal We want all of our people to feel empowered to be the best that they can be, which is why we have 'The Deal'. Find out more about our firmwide Employee Value Proposition: Diversity Valuing Difference. Driving Inclusion. We work in a changing world which offers great opportunities for people with diverse backgrounds and experiences. We seek to attract and employ the best people from the widest talent pool because creating value through diversity is what makes us strong as a business, enabling us to solve important problems and deliver value to our clients. We encourage an inclusive culture where people can be themselves, are valued for their strengths and are empowered to be the best they can be. As an organisation with an increasingly agile workforce, we also support different ways of working offering flexible working arrangements. Learn more here about our work to support an inclusive culture.
Description The IT Compliance Analyst II will have day-to-day responsibilities to fulfill and support the IT Compliance & Controls mission, including analysis of IT Control Framework assessments, analysis of IT Control gaps, assistance in remediation planning and tracking, analyzing legal or regulatory obligations (pending or enacted) for impact to existing baseline controls & test procedures, performing the IT compliance assurance function, evaluating the results of control owner self-assessments/control testing and recommend remediation steps, providing awareness of the IT control & risk frameworks, assisting in updating the IT Control Library & Control Plans to reflect the current CME operating environment & regulatory landscape. Incumbent will support IT compliance obligations as required, e.g. provide assistance in Global Assurance audits. The Incumbent will be responsible for: Learning and understanding the function and goals of the CME Group Technology Compliance Team Assessing the control implementation via defined test procedures and determining if controls are designed and operating as expected Analyzing and determining if existing controls are sufficient to meet new regulatory or legal obligations or if control enhancements are needed Deciding how authoritative source changes impact existing control plans & test procedures Helping to determine training/education needs (based on interaction with control plan owners) Helping assess the risk of controls not implemented Participating in application testing Performing audits of technology projects Recommending remediation actions. The Incumbent will follow common approaches for interacting with IT control owners while helping establish new approaches where precedent doesn’t exist in handling IT controls & associated risks. Given the current control environment, precedents will need to be established to determine how to properly respond, leaning on defined controls but helping to establish the compliance culture. In this role the Incumbent will be expected to: Recommend remediation actions for findings Decide on degree controls are operating based on independent assessment of test procedure results Recommend improvements in IT control & risk processes for potential automation. Decisions will generally be reviewed by IT Compliance Lead Analyst, IT Compliance Manager, and/or Sr. Director. This position, along with others being initiated, are critical for ensuring the implementation and operation of the IT compliance & risk management function while evolving the tools, processes and methodology established in the IT Control & Risk Framework initiative. The Incumbents ability to operate, enhance & assure IT controls will have a direct impact on reducing the overall IT and corporate risk. Competence Requirements: Demonstrated proven success in a role that emphasizes a thorough knowledge of technical aspects of the following areas: IT Risk Management, Information Security, Technical Privacy, and/or IT Audits Demonstrated knowledge of performing IT Risk & Security assessments across a broad range of technologies, leveraging thorough technical and operational knowledge of Information Security best practices and industry standards to define the security controls and processes. Demonstrated knowledge and/or exposure to the common issues facing the financial services market including privacy and regulatory concerns. Demonstrated abilities with the utilization of network and application security assessment tools and methodologies to manage and address security and control issues Demonstrated experience participating in key management discussions and meetings, preparing concise, accurate documents and balancing project deadlines with the occurrence of unanticipated issues Strong written and verbal communication and presentation skills, leadership, and ability to work with diverse teams Experience as a Staff/Senior level consultant, auditor, or Information Security analyst in a professional services firm or large enterprise, which includes: Interfacing with key stakeholders on control solutions Participating in the planning and execution of projects in the following areas: Information Security, Risk Management, Technical Compliance, IT Security Audit, Remediation, and / or IT Risk Management. Experience working with NIST, COBIT, CFTC, AICPA, ISO/IEC, PCI, FFIEC, etc. General proficiency as user of GRC & Audit tools Desired Experience: Proficiency in software development using Python, Java, R Language, JavaScript, Scala or similar Experience in developing automation within security tools Experience in developing solutions to mitigate security vulnerabilities Minimum Education/Experience Requirements: Bachelor's degree in business, accounting, finance, computer science, information systems, engineering, or a related discipline Incumbents who can clearly demonstrate transferable work experience skills from a previous role will be considered Minimum Experience Requirements: Experience in general accounting and/or working as a Staff/Senior level IT analyst, IT auditor, or IT risk adviser for a financial institution, public accounting firm (Big 4 preferred), or a professional services firm, performing IT Controls, IT Risk Management, and/or IT Internal Audit including experience in Information Security. Preferred Certifications: CISA CPA CISSP CISM CRISC CGEIT CDPSE or other related certifications completed or pursuing CME Group: Where Futures Are Made CME Group () is the world's leading and most diverse derivatives marketplace. But who we are goes deeper than that. Here, you can impact markets worldwide. Transform industries. And build a career shaping tomorrow. We invest in your success and you own it, all while working alongside a team of leading experts who inspire you in ways big and small. Joining our company gives you the opportunity to make a difference in global financial markets every day, whether you work on our industry-leading technology and risk management services, our benchmark products or in a corporate services area that helps us serve our customers better. With 2,500 employees located around the world, we're small enough for you and your contributions to be known. But big enough for your ideas to make an impact. The pace is dynamic, the work is unlike any other firm in the business, and the possibilities are endless. Problem solvers, difference makers, trailblazers. Those are our people. And we're looking for more. For EU Residents, the Candidate Privacy Policy can be found here.
Nov 30, 2021
Full time
Description The IT Compliance Analyst II will have day-to-day responsibilities to fulfill and support the IT Compliance & Controls mission, including analysis of IT Control Framework assessments, analysis of IT Control gaps, assistance in remediation planning and tracking, analyzing legal or regulatory obligations (pending or enacted) for impact to existing baseline controls & test procedures, performing the IT compliance assurance function, evaluating the results of control owner self-assessments/control testing and recommend remediation steps, providing awareness of the IT control & risk frameworks, assisting in updating the IT Control Library & Control Plans to reflect the current CME operating environment & regulatory landscape. Incumbent will support IT compliance obligations as required, e.g. provide assistance in Global Assurance audits. The Incumbent will be responsible for: Learning and understanding the function and goals of the CME Group Technology Compliance Team Assessing the control implementation via defined test procedures and determining if controls are designed and operating as expected Analyzing and determining if existing controls are sufficient to meet new regulatory or legal obligations or if control enhancements are needed Deciding how authoritative source changes impact existing control plans & test procedures Helping to determine training/education needs (based on interaction with control plan owners) Helping assess the risk of controls not implemented Participating in application testing Performing audits of technology projects Recommending remediation actions. The Incumbent will follow common approaches for interacting with IT control owners while helping establish new approaches where precedent doesn’t exist in handling IT controls & associated risks. Given the current control environment, precedents will need to be established to determine how to properly respond, leaning on defined controls but helping to establish the compliance culture. In this role the Incumbent will be expected to: Recommend remediation actions for findings Decide on degree controls are operating based on independent assessment of test procedure results Recommend improvements in IT control & risk processes for potential automation. Decisions will generally be reviewed by IT Compliance Lead Analyst, IT Compliance Manager, and/or Sr. Director. This position, along with others being initiated, are critical for ensuring the implementation and operation of the IT compliance & risk management function while evolving the tools, processes and methodology established in the IT Control & Risk Framework initiative. The Incumbents ability to operate, enhance & assure IT controls will have a direct impact on reducing the overall IT and corporate risk. Competence Requirements: Demonstrated proven success in a role that emphasizes a thorough knowledge of technical aspects of the following areas: IT Risk Management, Information Security, Technical Privacy, and/or IT Audits Demonstrated knowledge of performing IT Risk & Security assessments across a broad range of technologies, leveraging thorough technical and operational knowledge of Information Security best practices and industry standards to define the security controls and processes. Demonstrated knowledge and/or exposure to the common issues facing the financial services market including privacy and regulatory concerns. Demonstrated abilities with the utilization of network and application security assessment tools and methodologies to manage and address security and control issues Demonstrated experience participating in key management discussions and meetings, preparing concise, accurate documents and balancing project deadlines with the occurrence of unanticipated issues Strong written and verbal communication and presentation skills, leadership, and ability to work with diverse teams Experience as a Staff/Senior level consultant, auditor, or Information Security analyst in a professional services firm or large enterprise, which includes: Interfacing with key stakeholders on control solutions Participating in the planning and execution of projects in the following areas: Information Security, Risk Management, Technical Compliance, IT Security Audit, Remediation, and / or IT Risk Management. Experience working with NIST, COBIT, CFTC, AICPA, ISO/IEC, PCI, FFIEC, etc. General proficiency as user of GRC & Audit tools Desired Experience: Proficiency in software development using Python, Java, R Language, JavaScript, Scala or similar Experience in developing automation within security tools Experience in developing solutions to mitigate security vulnerabilities Minimum Education/Experience Requirements: Bachelor's degree in business, accounting, finance, computer science, information systems, engineering, or a related discipline Incumbents who can clearly demonstrate transferable work experience skills from a previous role will be considered Minimum Experience Requirements: Experience in general accounting and/or working as a Staff/Senior level IT analyst, IT auditor, or IT risk adviser for a financial institution, public accounting firm (Big 4 preferred), or a professional services firm, performing IT Controls, IT Risk Management, and/or IT Internal Audit including experience in Information Security. Preferred Certifications: CISA CPA CISSP CISM CRISC CGEIT CDPSE or other related certifications completed or pursuing CME Group: Where Futures Are Made CME Group () is the world's leading and most diverse derivatives marketplace. But who we are goes deeper than that. Here, you can impact markets worldwide. Transform industries. And build a career shaping tomorrow. We invest in your success and you own it, all while working alongside a team of leading experts who inspire you in ways big and small. Joining our company gives you the opportunity to make a difference in global financial markets every day, whether you work on our industry-leading technology and risk management services, our benchmark products or in a corporate services area that helps us serve our customers better. With 2,500 employees located around the world, we're small enough for you and your contributions to be known. But big enough for your ideas to make an impact. The pace is dynamic, the work is unlike any other firm in the business, and the possibilities are endless. Problem solvers, difference makers, trailblazers. Those are our people. And we're looking for more. For EU Residents, the Candidate Privacy Policy can be found here.
