DCEO Mechanical Chief Engineer, ARN- DCEO Amazon Web Services (AWS) is looking for a detail-oriented individual to join our Data Centre Engineering Operations Team as a Mechanical Chief Engineer. Data Centre Mechanical Chief Engineer (CE) primary responsibility is ensuring that all mechanical equipment within the data centre is operating at peak efficiency. This involves planned preventative maintenance of equipment, daily corrective work, and emergency response. The CE serves as an expert technical resource interacting with onsite Engineering Operations Technicians (EOT) and any third party vendors. They are expected to be a singular focal point for all facility operations within a given data centre and to support AWS. The CE will also be involved with fire/life safety equipment and electrical equipment. AWS Infrastructure Services (AIS) AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities - Management and leadership of DCEO Engineering Team - Establish performance benchmarks, conduct analyses, and prepare reports on all aspects of the critical facility operations and maintenance - Responsible for the on-site management of shift technicians, senior shift technicians, sub-contractors and vendors - Oversee operation and management of routine and emergency services on a variety of critical systems such as: switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc. - Data Centre capacity planning and reporting - May assist in the design and build out of new facilities - Work with IT managers and other business leaders to coordinate projects, manage capacity, and optimize plant safety, performance, reliability and efficiency - Deliver quality service and ensure all customer demands are met - Responsible for asset and inventory management - Respond to out of hour's emergency calls - second level escalation point for Data Centre facilities related issues / failures. About the team Diverse Experiences 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 • Bachelor Degree in Electrical or Mechanical Engineering or equivalent • Extensive industry related experience with In-depth knowledge of UPS, backup generator systems, and generic mechanical-room infrastructure • Proficient with IT programs such as Microsoft Office products. PREFERRED QUALIFICATIONS • Experience in operations, and on-call support for Data Center facilities, or Mission Critical Plants/Production facilities with ability to demonstrate key electrical and mechanical competencies and theory • Master Degree in a technical field - Electrical Engineering, Mechanical Engineering, Industrial Engineer or equivalent. • Project Management experience 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. 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. Posted: April 30, 2025 (Updated about 1 hour ago) Posted: April 8, 2025 (Updated about 1 hour ago) Posted: December 27, 2024 (Updated about 3 hours ago) Posted: May 5, 2025 (Updated about 3 hours ago) Posted: April 7, 2025 (Updated about 3 hours ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
May 24, 2025
Full time
DCEO Mechanical Chief Engineer, ARN- DCEO Amazon Web Services (AWS) is looking for a detail-oriented individual to join our Data Centre Engineering Operations Team as a Mechanical Chief Engineer. Data Centre Mechanical Chief Engineer (CE) primary responsibility is ensuring that all mechanical equipment within the data centre is operating at peak efficiency. This involves planned preventative maintenance of equipment, daily corrective work, and emergency response. The CE serves as an expert technical resource interacting with onsite Engineering Operations Technicians (EOT) and any third party vendors. They are expected to be a singular focal point for all facility operations within a given data centre and to support AWS. The CE will also be involved with fire/life safety equipment and electrical equipment. AWS Infrastructure Services (AIS) AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities - Management and leadership of DCEO Engineering Team - Establish performance benchmarks, conduct analyses, and prepare reports on all aspects of the critical facility operations and maintenance - Responsible for the on-site management of shift technicians, senior shift technicians, sub-contractors and vendors - Oversee operation and management of routine and emergency services on a variety of critical systems such as: switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc. - Data Centre capacity planning and reporting - May assist in the design and build out of new facilities - Work with IT managers and other business leaders to coordinate projects, manage capacity, and optimize plant safety, performance, reliability and efficiency - Deliver quality service and ensure all customer demands are met - Responsible for asset and inventory management - Respond to out of hour's emergency calls - second level escalation point for Data Centre facilities related issues / failures. About the team Diverse Experiences 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 • Bachelor Degree in Electrical or Mechanical Engineering or equivalent • Extensive industry related experience with In-depth knowledge of UPS, backup generator systems, and generic mechanical-room infrastructure • Proficient with IT programs such as Microsoft Office products. PREFERRED QUALIFICATIONS • Experience in operations, and on-call support for Data Center facilities, or Mission Critical Plants/Production facilities with ability to demonstrate key electrical and mechanical competencies and theory • Master Degree in a technical field - Electrical Engineering, Mechanical Engineering, Industrial Engineer or equivalent. • Project Management experience 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. 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. Posted: April 30, 2025 (Updated about 1 hour ago) Posted: April 8, 2025 (Updated about 1 hour ago) Posted: December 27, 2024 (Updated about 3 hours ago) Posted: May 5, 2025 (Updated about 3 hours ago) Posted: April 7, 2025 (Updated about 3 hours ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Technical Account Manager, ES - EMEA-SMB Job ID: Amazon Web Services EMEA SARL, Dutch Branch Would you like to join one of the fastest-growing organizations within Amazon Web Services (AWS), and help customers of all industries and sizes gain the best value and service from AWS? AWS Enterprise Support, Technical Account Managers (TAM) support our customers' creative and transformative spirit of innovation across all technologies - including Compute, Storage, Database, Big Data, Application-level Services, Networking, Serverless, Deployment, Security and more. This is not a sales role, but rather an opportunity to be the principal technical advisor and 'voice of the customer' to organizations ranging from start-ups to Fortune 500 enterprises The Role As a TAM, you will help craft and execute strategies to drive our customers' adoption and use of AWS services - including EC2, S3, DynamoDB & RDS databases, Lambda, CloudFront CDN, IoT, and many more. Your technical acumen and customer-facing skills will enable you to effectively represent AWS within a customer's environment, and drive discussions with senior leadership regarding incidents, trade-offs, support, and risk management. You will provide advocacy and strategic technical guidance to help plan and build solutions using best practices, and proactively keep your customers' AWS environments operationally healthy. The close relationships developed with your customers will allow you to understand their business/operational needs and technical challenges, and help them achieve the greatest value from AWS. This position will require the ability to travel 10% or more as needed. Watch a short video about life as a Technical Account Manager here: The TAM is the centerpiece of value to our Enterprise Support customers. If you wish to be at the forefront of innovation, come join us! AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. About the team Diverse Experiences Amazon 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. 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. 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 and 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. BASIC QUALIFICATIONS - Experience with operational parameters and troubleshooting for three (3) of the following: compute/storage/networking/CDN/databases/DevOps/big data and analytics/security/applications development in a distributed systems environment - Experience in technical engineering - Bachelor's degree PREFERRED QUALIFICATIONS - Experience with AWS services or other cloud offerings - Experience in internal enterprise or external customer-facing environment as a technical lead 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. 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. Posted: May 13, 2025 (Updated about 6 hours ago) Posted: May 6, 2025 (Updated about 6 hours ago) Posted: May 21, 2025 (Updated about 7 hours ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
May 24, 2025
Full time
Technical Account Manager, ES - EMEA-SMB Job ID: Amazon Web Services EMEA SARL, Dutch Branch Would you like to join one of the fastest-growing organizations within Amazon Web Services (AWS), and help customers of all industries and sizes gain the best value and service from AWS? AWS Enterprise Support, Technical Account Managers (TAM) support our customers' creative and transformative spirit of innovation across all technologies - including Compute, Storage, Database, Big Data, Application-level Services, Networking, Serverless, Deployment, Security and more. This is not a sales role, but rather an opportunity to be the principal technical advisor and 'voice of the customer' to organizations ranging from start-ups to Fortune 500 enterprises The Role As a TAM, you will help craft and execute strategies to drive our customers' adoption and use of AWS services - including EC2, S3, DynamoDB & RDS databases, Lambda, CloudFront CDN, IoT, and many more. Your technical acumen and customer-facing skills will enable you to effectively represent AWS within a customer's environment, and drive discussions with senior leadership regarding incidents, trade-offs, support, and risk management. You will provide advocacy and strategic technical guidance to help plan and build solutions using best practices, and proactively keep your customers' AWS environments operationally healthy. The close relationships developed with your customers will allow you to understand their business/operational needs and technical challenges, and help them achieve the greatest value from AWS. This position will require the ability to travel 10% or more as needed. Watch a short video about life as a Technical Account Manager here: The TAM is the centerpiece of value to our Enterprise Support customers. If you wish to be at the forefront of innovation, come join us! AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. About the team Diverse Experiences Amazon 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. 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. 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 and 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. BASIC QUALIFICATIONS - Experience with operational parameters and troubleshooting for three (3) of the following: compute/storage/networking/CDN/databases/DevOps/big data and analytics/security/applications development in a distributed systems environment - Experience in technical engineering - Bachelor's degree PREFERRED QUALIFICATIONS - Experience with AWS services or other cloud offerings - Experience in internal enterprise or external customer-facing environment as a technical lead 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. 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. Posted: May 13, 2025 (Updated about 6 hours ago) Posted: May 6, 2025 (Updated about 6 hours ago) Posted: May 21, 2025 (Updated about 7 hours ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
We are a part of Amazon Artificial General Intelligence (AGI) organization where our mission is "delight customers through contextual and personalized proactive experiences that keep customers informed, engaged, and productive without cognitive burden". We are developing advanced systems to deliver engaging, intuitive, and adaptive content recommendations across all Amazon surfaces. We aim to facilitate seamless reasoning and customer experiences, surpassing the capabilities of previous machine learning models. We are looking for a passionate, talented, and resourceful Senior Applied Scientist in the field of Natural Language Processing (NLP), Large Language Model (LLM), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware personal assistant. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also enjoy operating in dynamic environments, be self-motivated to take on challenging problems to deliver big customer impact, shipping solutions via rapid experimentation and then iterating on user feedback and interactions. Key job responsibilities As a Senior Applied Scientist, you will leverage your technical expertise and experience to demonstrate leadership in tackling large complex problems, setting the direction and collaborating with applied scientists and engineers to develop novel algorithms and modeling techniques to enable timely, relevant and delightful recommendations and conversations. Your work will directly impact our customers in the form of products and services that make use of various machine learing, deep learning and language model technologies. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in the state of art. BASIC QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree - PhD, or Master's degree and 6+ years of applied research experience - 3+ years of building machine learning models for business application experience - Experience programming in Java, C++, Python or related language PREFERRED QUALIFICATIONS - PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialties in natural language processing, recommendation system, information retrieval or reinforcement learning - 4+ years experience in building machine learning and deep learning models for large scale customer facing product of features - Hands on experience with LLMs - Publications at peer-reviewed NLP/ML conferences (e.g. ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI) - 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 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. Posted: October 18, 2024 (Updated 6 days ago) Posted: April 18, 2025 (Updated 6 days ago) Posted: July 17, 2024 (Updated 6 days ago) Posted: March 11, 2025 (Updated 6 days ago) Posted: April 2, 2025 (Updated 6 days ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
May 23, 2025
Full time
We are a part of Amazon Artificial General Intelligence (AGI) organization where our mission is "delight customers through contextual and personalized proactive experiences that keep customers informed, engaged, and productive without cognitive burden". We are developing advanced systems to deliver engaging, intuitive, and adaptive content recommendations across all Amazon surfaces. We aim to facilitate seamless reasoning and customer experiences, surpassing the capabilities of previous machine learning models. We are looking for a passionate, talented, and resourceful Senior Applied Scientist in the field of Natural Language Processing (NLP), Large Language Model (LLM), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware personal assistant. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also enjoy operating in dynamic environments, be self-motivated to take on challenging problems to deliver big customer impact, shipping solutions via rapid experimentation and then iterating on user feedback and interactions. Key job responsibilities As a Senior Applied Scientist, you will leverage your technical expertise and experience to demonstrate leadership in tackling large complex problems, setting the direction and collaborating with applied scientists and engineers to develop novel algorithms and modeling techniques to enable timely, relevant and delightful recommendations and conversations. Your work will directly impact our customers in the form of products and services that make use of various machine learing, deep learning and language model technologies. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in the state of art. BASIC QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree - PhD, or Master's degree and 6+ years of applied research experience - 3+ years of building machine learning models for business application experience - Experience programming in Java, C++, Python or related language PREFERRED QUALIFICATIONS - PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialties in natural language processing, recommendation system, information retrieval or reinforcement learning - 4+ years experience in building machine learning and deep learning models for large scale customer facing product of features - Hands on experience with LLMs - Publications at peer-reviewed NLP/ML conferences (e.g. ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI) - 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 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. Posted: October 18, 2024 (Updated 6 days ago) Posted: April 18, 2025 (Updated 6 days ago) Posted: July 17, 2024 (Updated 6 days ago) Posted: March 11, 2025 (Updated 6 days ago) Posted: April 2, 2025 (Updated 6 days ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Alexa is the voice activated digital assistant powering devices like Amazon Echo, Echo Dot, Echo Show, and Fire TV, which are at the forefront of this latest technology wave. To preserve our customers' experience and trust, the Alexa Privacy team creates policies and builds services and tools through Machine Learning techniques to detect and mitigate sensitive content across Alexa. We are looking for an experienced Senior Applied Scientist to build industry-leading technologies in attribute extraction and sensitive content detection across all languages and countries. An Applied Scientist will be in a team of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in Natural Language Processing (NLP) or Computer Vision (CV) related tasks. They will work in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build customer facing experiences. They will collaborate with and mentor other scientists to raise the bar of scientific research in Amazon. Their work will directly impact our customers in the form of products and services that make use of speech, language, and computer vision technologies. We are looking for candidate with strong technical experiences and a passion for building scientific driven solutions in a fast-paced environment. This Senior Applied Scientist should have good understanding of NLP models (e.g. LSTM, transformer based models) or CV models (e.g. CNN, AlexNet, ResNet) and where to apply them in different business cases. They should leverage exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience of building large-scale distributed systems to create reliable, scalable, and high-performance products. In addition to technical depth, they must possess exceptional communication skills and understand how to influence key stakeholders. This Applied Scientist will be joining a select group of people making history producing one of the most highly rated products in Amazon's history, so if you are looking for a challenging and innovative role where you can solve important problems while growing as a leader, this may be the place for you. Key job responsibilities This Applied Scientist will lead the science solution design, run experiments, research new algorithms, and find new ways of optimizing customer experience. They will set examples for the team on good science practice and standards. Besides theoretical analysis and innovation, they will work closely with talented engineers and ML scientists to put algorithms and models into practice. This Applied Scientist's work will also directly impact the trust customers place in Alexa, globally. They will contribute directly to our growth by hiring smart and motivated scientists to establish teams that can deliver swiftly and predictably, adjusting in an agile fashion to deliver what our customers need. A day in the life You will be working with a group of talented scientists on researching algorithms and running experiments to test scientific proposal/solutions to improve our sensitive content detection and mitigation. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You will mentor other scientists, review and guide their work, help develop roadmaps for the team. You will work closely with partner teams across Alexa to deliver platform features that require cross-team leadership. About the team The mission of the Alexa Sensitive Content Intelligence (ASCI) team is to (1) minimize negative surprises to customers caused by sensitive content, (2) detect and prevent potential brand-damaging interactions, and (3) build customer trust through appropriate interactions on sensitive topics. The term "sensitive content" includes within its scope a wide range of categories of content such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarizing content, and religiously polarizing content. The term "content" refers to any material that is exposed to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio, and video. 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 this link for more information. Posted: February 13, 2025 (Updated about 12 hours ago)
May 23, 2025
Full time
Alexa is the voice activated digital assistant powering devices like Amazon Echo, Echo Dot, Echo Show, and Fire TV, which are at the forefront of this latest technology wave. To preserve our customers' experience and trust, the Alexa Privacy team creates policies and builds services and tools through Machine Learning techniques to detect and mitigate sensitive content across Alexa. We are looking for an experienced Senior Applied Scientist to build industry-leading technologies in attribute extraction and sensitive content detection across all languages and countries. An Applied Scientist will be in a team of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in Natural Language Processing (NLP) or Computer Vision (CV) related tasks. They will work in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build customer facing experiences. They will collaborate with and mentor other scientists to raise the bar of scientific research in Amazon. Their work will directly impact our customers in the form of products and services that make use of speech, language, and computer vision technologies. We are looking for candidate with strong technical experiences and a passion for building scientific driven solutions in a fast-paced environment. This Senior Applied Scientist should have good understanding of NLP models (e.g. LSTM, transformer based models) or CV models (e.g. CNN, AlexNet, ResNet) and where to apply them in different business cases. They should leverage exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience of building large-scale distributed systems to create reliable, scalable, and high-performance products. In addition to technical depth, they must possess exceptional communication skills and understand how to influence key stakeholders. This Applied Scientist will be joining a select group of people making history producing one of the most highly rated products in Amazon's history, so if you are looking for a challenging and innovative role where you can solve important problems while growing as a leader, this may be the place for you. Key job responsibilities This Applied Scientist will lead the science solution design, run experiments, research new algorithms, and find new ways of optimizing customer experience. They will set examples for the team on good science practice and standards. Besides theoretical analysis and innovation, they will work closely with talented engineers and ML scientists to put algorithms and models into practice. This Applied Scientist's work will also directly impact the trust customers place in Alexa, globally. They will contribute directly to our growth by hiring smart and motivated scientists to establish teams that can deliver swiftly and predictably, adjusting in an agile fashion to deliver what our customers need. A day in the life You will be working with a group of talented scientists on researching algorithms and running experiments to test scientific proposal/solutions to improve our sensitive content detection and mitigation. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You will mentor other scientists, review and guide their work, help develop roadmaps for the team. You will work closely with partner teams across Alexa to deliver platform features that require cross-team leadership. About the team The mission of the Alexa Sensitive Content Intelligence (ASCI) team is to (1) minimize negative surprises to customers caused by sensitive content, (2) detect and prevent potential brand-damaging interactions, and (3) build customer trust through appropriate interactions on sensitive topics. The term "sensitive content" includes within its scope a wide range of categories of content such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarizing content, and religiously polarizing content. The term "content" refers to any material that is exposed to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio, and video. 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 this link for more information. Posted: February 13, 2025 (Updated about 12 hours ago)
You will need to login before you can apply for a job. Sector: Science and Pharmaceutical Role: Senior Executive Contract Type: Permanent Hours: Full Time DESCRIPTION The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems. Key job responsibilities As a Senior Applied Scientist with the AGI team, you will work with talented peers to lead and own hands-on development of novel algorithms and modeling techniques, to advance the state of the art with LLMs. 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. About the team The AGI team has a mission to push the envelope in GenAI with LLMs and multimodal systems, in order to provide the best-possible experience for our customers. BASIC QUALIFICATIONS Master's degree Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience in building machine learning models for business application Experience in applied research PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. 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. 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. 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.
May 21, 2025
Full time
You will need to login before you can apply for a job. Sector: Science and Pharmaceutical Role: Senior Executive Contract Type: Permanent Hours: Full Time DESCRIPTION The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems. Key job responsibilities As a Senior Applied Scientist with the AGI team, you will work with talented peers to lead and own hands-on development of novel algorithms and modeling techniques, to advance the state of the art with LLMs. 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. About the team The AGI team has a mission to push the envelope in GenAI with LLMs and multimodal systems, in order to provide the best-possible experience for our customers. BASIC QUALIFICATIONS Master's degree Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience in building machine learning models for business application Experience in applied research PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. 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. 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. 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.
About the Role NPL is the UK's National Metrology Institute. Our role is to research, create and deliver the measurement infrastructure which underpins the UK's prosperity and quality of life across many fields of industry. The National Physical Laboratory (NPL) is seeking an experienced Senior Research Scientist to join our team in Teddington. The Climate and Earth Observation (CEO) group at NPL is a world leader in the theory, methods, and practice of metrological (measurement science) traceability of Earth Observation (EO) instrumentation and their data products. CEO projects cover the metrology and quality assurance of satellite data products - from the pre-flight calibration and onboard processing to the higher-level data products providing essential climate variables and other societal datasets. We also develop in-situ fiducial reference measurement (FRM) techniques for calibration and validation of satellite data products. We collaborate strongly with other teams within NPL, especially the Data Science team, and externally with a wide range of collaborators. Our research programme in active satellite sensors (radar altimeters and related technologies) is growing rapidly, with recently won projects looking at the uncertainty assessment and characterisation metrics for radar altimetry (including both the altimeter and the microwave radiometer) on Copernicus Sentinel 6, Sentinel 3, and CRISTAL missions, along with the development of suitable FRMs, for oceans, inland water, sea ice and land ice surfaces. We have also recently started projects that consider how observational uncertainties can be used in Earth systems modelling. We are looking to expand our efforts with such active sensors, and to develop new capability relating to SAR-mode processing (fully focused and interferometric) of radar altimeters. Additionally, we are keen to explore the metrological aspects of SAR itself, especially where SAR observations are complementary to our active research projects on vegetation and Nature Based Solutions. Some of the day to day duties and responsibilities of the Senior Scientist will involve: Leading cutting-edge research, recognising aspects that could be commercially viable Representing NPL to promote our work and raise our profile Crafting winning bids, in line with NPL's growth strategy Working inclusively and collaboratively to develop partnership opportunities About You We are looking for a candidate with extensive experience in satellite radar altimetry and/or SAR data, with an interest in metrology and an understanding of various stages of data collection and processing. The successful candidate will work, with the existing team and in collaboration with external project partners, on existing projects relating to radar altimetry data over oceans, inland water, sea ice and land ice surfaces, and would be expected to develop their own research programme to expand these efforts in one or more of those directions and/or into SAR. We are looking for someone with a deep curiosity in how the instruments work and how the data are processed, and who is flexible enough to jump from a discussion on the orbit characteristics for Sentinel 6 to a discussion on suitable FRMs for sea ice thickness measurements. The job will cover a wide range of active satellite sensor topics, and we realise that candidates may have more specialist experience initially. There will be an opportunity to develop scientific knowledge as part of the role. This role is a senior scientific leadership position and would involve line management and coaching of junior scientists, as well as representing NPL in international committees and at conferences. While there is some existing research funding, the role will also involve building partnerships and consortia and bidding for further research, thus providing an opportunity for the successful candidate to tailor the activity and their career, while building on the firm metrological foundation associated with NPL. Typical Tasks: Working as part of a strong and growing team, cooperating with internal, external, and international partners. Carrying out relevant scientific research, initially on existing projects. Producing software and analyses. Writing and reviewing technical documentation and scientific publications. Supporting the development and mentoring of more junior scientists, including line management and recruitment. Finding opportunities for and leading development of technical proposals to meet bid requirements that are consistent with the NPL strategy, and which follow NPL formal procedures. Assuming responsibility for the standard of delivery of work by scientists in your area of specialist technical knowledge and working in accordance with the NPL quality system. Providing leadership, co-ordination and expertise in radar altimetry and/or SAR. Person specification Degree in Physics, Mathematics, Engineering, or similar subject. PhD (or equivalent research experience) in relevant field preferred. 6+ years' experience in working with data from active satellite sensors or other radar systems. Experience in passive microwave radiometry also considered to contribute to this experience. We recognise that the candidate will need to develop broader experience as part of the role, so we are looking for people with strong existing knowledge in some aspects of radar systems and a clear willingness to broaden (and deepen) that knowledge. Good understanding of the metrological principles of uncertainty analysis and a keen interest in the details of how instruments work and data are processed. Strong mathematical and collaborative scientific programming skills in Python or similar languages and use of cloud computing resources. Effective communication skills and collaborative approach with other senior scientists. You will be expected to travel to international locations for conferences and to meet customers in the UK and abroad. Please note: Applications will be reviewed, and interviews conducted throughout the duration of this advert therefore we may at any time bring the closing date forward. We encourage all interested applicants to apply as soon as practical. We actively recruit citizens of all backgrounds, but the nature of our work in specific departments means that nationality, residency and security requirements can be more tightly defined than others. You will be asked about this throughout the recruitment process. To work at NPL, you will need to obtain BPSS security clearance. About Us The National Physical Laboratory (NPL) is a world-leading centre of excellence that provides cutting-edge measurement science, engineering and technology to underpin prosperity and quality of life in the UK. Find out more about what it is like working here - The measure of us - Overview NPL and DSIT have strong commitments to diversity and equality of opportunity, and welcome applications from candidates irrespective of their background, gender, race, sexual orientation, religion, or age, providing they meet the required criteria. Applications from women, disabled and black, Asian and minority ethnic candidates in particular are encouraged. All disabled candidates (as defined by the Equality Act 2010) who satisfy the minimum criteria for the role will be guaranteed an interview under the Disability Confident Scheme. At NPL, we believe our success is a result of the diversity and talent of our people. We strive to nurture and respect individuals to ensure everyone feels valued by treating everyone on the basis of their own individual merits and abilities regardless of their own or perceived identity, as part of our commitment to diversity & inclusion, we ensure we're creating an environment where all our colleagues feel supported and welcome. More about this on our Diversity & Inclusion page. We are committed to the health and well-being of our employees. Flexible working and social activities are embedded in our culture to create a positive work-life balance, along with a broad range of rewards, benefits and recognition . Our values are at the heart of what we do, and they shape the way we interact, develop our people and celebrate success. To ensure everyone has an equal chance, we're always willing to make reasonable adjustments to the recruitment process. If you would like to discuss, please contact us.
Feb 20, 2025
Full time
About the Role NPL is the UK's National Metrology Institute. Our role is to research, create and deliver the measurement infrastructure which underpins the UK's prosperity and quality of life across many fields of industry. The National Physical Laboratory (NPL) is seeking an experienced Senior Research Scientist to join our team in Teddington. The Climate and Earth Observation (CEO) group at NPL is a world leader in the theory, methods, and practice of metrological (measurement science) traceability of Earth Observation (EO) instrumentation and their data products. CEO projects cover the metrology and quality assurance of satellite data products - from the pre-flight calibration and onboard processing to the higher-level data products providing essential climate variables and other societal datasets. We also develop in-situ fiducial reference measurement (FRM) techniques for calibration and validation of satellite data products. We collaborate strongly with other teams within NPL, especially the Data Science team, and externally with a wide range of collaborators. Our research programme in active satellite sensors (radar altimeters and related technologies) is growing rapidly, with recently won projects looking at the uncertainty assessment and characterisation metrics for radar altimetry (including both the altimeter and the microwave radiometer) on Copernicus Sentinel 6, Sentinel 3, and CRISTAL missions, along with the development of suitable FRMs, for oceans, inland water, sea ice and land ice surfaces. We have also recently started projects that consider how observational uncertainties can be used in Earth systems modelling. We are looking to expand our efforts with such active sensors, and to develop new capability relating to SAR-mode processing (fully focused and interferometric) of radar altimeters. Additionally, we are keen to explore the metrological aspects of SAR itself, especially where SAR observations are complementary to our active research projects on vegetation and Nature Based Solutions. Some of the day to day duties and responsibilities of the Senior Scientist will involve: Leading cutting-edge research, recognising aspects that could be commercially viable Representing NPL to promote our work and raise our profile Crafting winning bids, in line with NPL's growth strategy Working inclusively and collaboratively to develop partnership opportunities About You We are looking for a candidate with extensive experience in satellite radar altimetry and/or SAR data, with an interest in metrology and an understanding of various stages of data collection and processing. The successful candidate will work, with the existing team and in collaboration with external project partners, on existing projects relating to radar altimetry data over oceans, inland water, sea ice and land ice surfaces, and would be expected to develop their own research programme to expand these efforts in one or more of those directions and/or into SAR. We are looking for someone with a deep curiosity in how the instruments work and how the data are processed, and who is flexible enough to jump from a discussion on the orbit characteristics for Sentinel 6 to a discussion on suitable FRMs for sea ice thickness measurements. The job will cover a wide range of active satellite sensor topics, and we realise that candidates may have more specialist experience initially. There will be an opportunity to develop scientific knowledge as part of the role. This role is a senior scientific leadership position and would involve line management and coaching of junior scientists, as well as representing NPL in international committees and at conferences. While there is some existing research funding, the role will also involve building partnerships and consortia and bidding for further research, thus providing an opportunity for the successful candidate to tailor the activity and their career, while building on the firm metrological foundation associated with NPL. Typical Tasks: Working as part of a strong and growing team, cooperating with internal, external, and international partners. Carrying out relevant scientific research, initially on existing projects. Producing software and analyses. Writing and reviewing technical documentation and scientific publications. Supporting the development and mentoring of more junior scientists, including line management and recruitment. Finding opportunities for and leading development of technical proposals to meet bid requirements that are consistent with the NPL strategy, and which follow NPL formal procedures. Assuming responsibility for the standard of delivery of work by scientists in your area of specialist technical knowledge and working in accordance with the NPL quality system. Providing leadership, co-ordination and expertise in radar altimetry and/or SAR. Person specification Degree in Physics, Mathematics, Engineering, or similar subject. PhD (or equivalent research experience) in relevant field preferred. 6+ years' experience in working with data from active satellite sensors or other radar systems. Experience in passive microwave radiometry also considered to contribute to this experience. We recognise that the candidate will need to develop broader experience as part of the role, so we are looking for people with strong existing knowledge in some aspects of radar systems and a clear willingness to broaden (and deepen) that knowledge. Good understanding of the metrological principles of uncertainty analysis and a keen interest in the details of how instruments work and data are processed. Strong mathematical and collaborative scientific programming skills in Python or similar languages and use of cloud computing resources. Effective communication skills and collaborative approach with other senior scientists. You will be expected to travel to international locations for conferences and to meet customers in the UK and abroad. Please note: Applications will be reviewed, and interviews conducted throughout the duration of this advert therefore we may at any time bring the closing date forward. We encourage all interested applicants to apply as soon as practical. We actively recruit citizens of all backgrounds, but the nature of our work in specific departments means that nationality, residency and security requirements can be more tightly defined than others. You will be asked about this throughout the recruitment process. To work at NPL, you will need to obtain BPSS security clearance. About Us The National Physical Laboratory (NPL) is a world-leading centre of excellence that provides cutting-edge measurement science, engineering and technology to underpin prosperity and quality of life in the UK. Find out more about what it is like working here - The measure of us - Overview NPL and DSIT have strong commitments to diversity and equality of opportunity, and welcome applications from candidates irrespective of their background, gender, race, sexual orientation, religion, or age, providing they meet the required criteria. Applications from women, disabled and black, Asian and minority ethnic candidates in particular are encouraged. All disabled candidates (as defined by the Equality Act 2010) who satisfy the minimum criteria for the role will be guaranteed an interview under the Disability Confident Scheme. At NPL, we believe our success is a result of the diversity and talent of our people. We strive to nurture and respect individuals to ensure everyone feels valued by treating everyone on the basis of their own individual merits and abilities regardless of their own or perceived identity, as part of our commitment to diversity & inclusion, we ensure we're creating an environment where all our colleagues feel supported and welcome. More about this on our Diversity & Inclusion page. We are committed to the health and well-being of our employees. Flexible working and social activities are embedded in our culture to create a positive work-life balance, along with a broad range of rewards, benefits and recognition . Our values are at the heart of what we do, and they shape the way we interact, develop our people and celebrate success. To ensure everyone has an equal chance, we're always willing to make reasonable adjustments to the recruitment process. If you would like to discuss, please contact us.
Data Center Delivery - Senior Technical Infra Program Manager, EMEA DC Delivery Job ID: Amazon Data Services UK Limited Amazon are seeking a Technical Infrastructure Program Manager (TIPM) to support our European Data Center infrastructure growth initiatives. Based in our Dublin or London corporate & Data Center offices, the TIPM will lead cross functional teams to drive the implementation and deployment of data center expansion projects to meet the demands of our rapidly growing business. Our Technical Program Managers are strong communicators both written and verbally and lead multi-discipline, highly technical physical infrastructure project teams. They lead teams of internal and external stakeholders through all stages of the Data Center development lifecycle from initial site due diligence through Construction and into Operation. The core role of the TIPM is to deliver capacity for our customers through developing delivery programs and working closely with stakeholder teams to identify risks and resolve issues to ensure those programs are delivered on time and within budget. The TIPM partners with various stakeholder teams during data center delivery; Real Estate to support the feasibility and selection of new sites; Energy to ensure suitable grid connection is available; Design Engineering to coordinate project specific inputs, constraints and risks into designs; Procurement to secure on time delivery of critical equipment; Construction Management to track budget & progress; and Operations to complete the project with successful handover, to name but a few. Key job responsibilities Take large, complex projects and break them down into manageable pieces. Clearly communicate goals, roles, responsibilities, and desired outcomes to internal cross-functional and remote teams. Up to 25% travel is envisaged within EMEA. Be responsible for end-to-end program delivery from pre-contract design up to final handover to Operations of Colo, Hybrid Colo & AWS Leased/Owned Data Centers in the EMEA region. Manage interface between internal (Real Estate, Engineering, Procurement, Construction, Infrastructure Deployment, Networking, Operations, Security, Fiber, Finance etc.) and external stakeholders (Contractors, Colo Vendors) to ensure on time and on budget delivery of Data Center projects. Build and maintain overall delivery program and project budget, submitting Capital Allocation Requests to Senior leadership to secure finance for project delivery. Work with Capacity Planning, Energy and Real Estate teams to develop short & long term build strategies to meet forecast demand. Support continuous process improvement through leading workflow updates, documenting & implementing lessons learned and sharing knowledge across delivery teams to ensure EMEA wide efficiency improvements. Regularly report to senior leadership on status of key project metrics vs. commitment of your projects. A day in the life AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the 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 empowers 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 7+ years experience in capital projects/physical infrastructure or mission critical environments. 5+ years Program Management experience. Proven ability to effectively manage large scale budgets is essential (e.g Building infrastructure projects). Industry experience across either data center, networking engineering, systems engineering or construction management Understanding of critical environments, and large capital projects and technologies (Electrical, Mechanical, Construction, Structural etc.). Bachelor's degree in Construction/Science/Engineering. PREFERRED QUALIFICATIONS Experience presenting to senior executives. Familiarity with one or more AWS products. Experience with data center technologies or operations. Demonstrated ability to use data (including SQL) and metrics to back up assumptions, evaluate outcomes and challenge conventional wisdom. 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. 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. 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.
Feb 16, 2025
Full time
Data Center Delivery - Senior Technical Infra Program Manager, EMEA DC Delivery Job ID: Amazon Data Services UK Limited Amazon are seeking a Technical Infrastructure Program Manager (TIPM) to support our European Data Center infrastructure growth initiatives. Based in our Dublin or London corporate & Data Center offices, the TIPM will lead cross functional teams to drive the implementation and deployment of data center expansion projects to meet the demands of our rapidly growing business. Our Technical Program Managers are strong communicators both written and verbally and lead multi-discipline, highly technical physical infrastructure project teams. They lead teams of internal and external stakeholders through all stages of the Data Center development lifecycle from initial site due diligence through Construction and into Operation. The core role of the TIPM is to deliver capacity for our customers through developing delivery programs and working closely with stakeholder teams to identify risks and resolve issues to ensure those programs are delivered on time and within budget. The TIPM partners with various stakeholder teams during data center delivery; Real Estate to support the feasibility and selection of new sites; Energy to ensure suitable grid connection is available; Design Engineering to coordinate project specific inputs, constraints and risks into designs; Procurement to secure on time delivery of critical equipment; Construction Management to track budget & progress; and Operations to complete the project with successful handover, to name but a few. Key job responsibilities Take large, complex projects and break them down into manageable pieces. Clearly communicate goals, roles, responsibilities, and desired outcomes to internal cross-functional and remote teams. Up to 25% travel is envisaged within EMEA. Be responsible for end-to-end program delivery from pre-contract design up to final handover to Operations of Colo, Hybrid Colo & AWS Leased/Owned Data Centers in the EMEA region. Manage interface between internal (Real Estate, Engineering, Procurement, Construction, Infrastructure Deployment, Networking, Operations, Security, Fiber, Finance etc.) and external stakeholders (Contractors, Colo Vendors) to ensure on time and on budget delivery of Data Center projects. Build and maintain overall delivery program and project budget, submitting Capital Allocation Requests to Senior leadership to secure finance for project delivery. Work with Capacity Planning, Energy and Real Estate teams to develop short & long term build strategies to meet forecast demand. Support continuous process improvement through leading workflow updates, documenting & implementing lessons learned and sharing knowledge across delivery teams to ensure EMEA wide efficiency improvements. Regularly report to senior leadership on status of key project metrics vs. commitment of your projects. A day in the life AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the 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 empowers 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 7+ years experience in capital projects/physical infrastructure or mission critical environments. 5+ years Program Management experience. Proven ability to effectively manage large scale budgets is essential (e.g Building infrastructure projects). Industry experience across either data center, networking engineering, systems engineering or construction management Understanding of critical environments, and large capital projects and technologies (Electrical, Mechanical, Construction, Structural etc.). Bachelor's degree in Construction/Science/Engineering. PREFERRED QUALIFICATIONS Experience presenting to senior executives. Familiarity with one or more AWS products. Experience with data center technologies or operations. Demonstrated ability to use data (including SQL) and metrics to back up assumptions, evaluate outcomes and challenge conventional wisdom. 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. 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. 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.
