Lead Data Engineer Location: London (Hybrid) Salary: 80,000- 115,000 Hexwired has partnered with an exciting AI start-up developing an intelligent automation platform that is transforming the B2C service. They're now looking for a Lead Data Engineer to design and build the data infrastructure that will power the next generation of their AI platform. As one of the first senior data hires, you'll take ownership of the company's data architecture, building scalable pipelines, real-time data processing systems and AI-ready infrastructure while helping shape the future engineering team. Key Responsibilities Design and build scalable batch and real-time data pipelines. Develop data ingestion, transformation and storage solutions for operational and AI workloads. Build and optimise vector search, retrieval systems and ML data pipelines. Ensure data reliability, governance, monitoring and observability across the platform. Work closely with AI, backend and product teams to support model training, inference and product development. Optimise large-scale datasets and database performance. Help define engineering standards and mentor future data engineers. Requirements 7+ years' experience in Data Engineering or Backend Engineering. Strong Python development experience. Experience building distributed data platforms and scalable pipelines. Excellent knowledge of PostgreSQL (or similar relational databases) and NoSQL databases. Experience with vector databases such as Qdrant, Milvus or pgvector . Familiarity with technologies such as Apache Spark, Airflow, Kafka, Elasticsearch/OpenSearch, Pandas and Polars . Strong understanding of data modelling, storage architecture and performance optimisation. Desirable Experience working on AI or Machine Learning platforms. Knowledge of cloud platforms (AWS, Azure or GCP). JavaScript/Node.js experience. Event-driven architecture and stream processing experience. Previous experience within a high-growth start-up environment. What's on Offer Competitive salary with equity options. The opportunity to shape the data architecture of a rapidly growing AI business. Work directly alongside founders and senior engineers. High levels of ownership, autonomy and technical influence. The chance to build technology that is transforming an entire industry. If you're an experienced Data Engineer looking to play a key role in building the foundations of an innovative AI platform, we'd love to hear from you. Apply today by contacting Hexwired Recruitment. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, FPGA, Python, Javascript, C#, Electronics, Secure Boot, Power Electronics, Digital Design, Machine Learning, Data Science or Simulation contact us today.
Sep 26, 2026
Full time
Lead Data Engineer Location: London (Hybrid) Salary: 80,000- 115,000 Hexwired has partnered with an exciting AI start-up developing an intelligent automation platform that is transforming the B2C service. They're now looking for a Lead Data Engineer to design and build the data infrastructure that will power the next generation of their AI platform. As one of the first senior data hires, you'll take ownership of the company's data architecture, building scalable pipelines, real-time data processing systems and AI-ready infrastructure while helping shape the future engineering team. Key Responsibilities Design and build scalable batch and real-time data pipelines. Develop data ingestion, transformation and storage solutions for operational and AI workloads. Build and optimise vector search, retrieval systems and ML data pipelines. Ensure data reliability, governance, monitoring and observability across the platform. Work closely with AI, backend and product teams to support model training, inference and product development. Optimise large-scale datasets and database performance. Help define engineering standards and mentor future data engineers. Requirements 7+ years' experience in Data Engineering or Backend Engineering. Strong Python development experience. Experience building distributed data platforms and scalable pipelines. Excellent knowledge of PostgreSQL (or similar relational databases) and NoSQL databases. Experience with vector databases such as Qdrant, Milvus or pgvector . Familiarity with technologies such as Apache Spark, Airflow, Kafka, Elasticsearch/OpenSearch, Pandas and Polars . Strong understanding of data modelling, storage architecture and performance optimisation. Desirable Experience working on AI or Machine Learning platforms. Knowledge of cloud platforms (AWS, Azure or GCP). JavaScript/Node.js experience. Event-driven architecture and stream processing experience. Previous experience within a high-growth start-up environment. What's on Offer Competitive salary with equity options. The opportunity to shape the data architecture of a rapidly growing AI business. Work directly alongside founders and senior engineers. High levels of ownership, autonomy and technical influence. The chance to build technology that is transforming an entire industry. If you're an experienced Data Engineer looking to play a key role in building the foundations of an innovative AI platform, we'd love to hear from you. Apply today by contacting Hexwired Recruitment. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, FPGA, Python, Javascript, C#, Electronics, Secure Boot, Power Electronics, Digital Design, Machine Learning, Data Science or Simulation contact us today.
Reply is seeking a Solution Architect to shape robust, future-proof platform architectures for clients across industries in the UK. You will lead cloud-native design, translate requirements into scalable solutions, and collaborate with client architects and engineering teams to deliver measurable value. The role involves both delivery and pre-sales activities, with emphasis on AWS-led implementations, security, and governance.
Sep 26, 2026
Full time
Reply is seeking a Solution Architect to shape robust, future-proof platform architectures for clients across industries in the UK. You will lead cloud-native design, translate requirements into scalable solutions, and collaborate with client architects and engineering teams to deliver measurable value. The role involves both delivery and pre-sales activities, with emphasis on AWS-led implementations, security, and governance.
About Us Sophos is a cybersecurity leader defending 600,000 organizations globally with an AI-driven platform and expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection, and response. Sophos offers industry-leading managed detection and response (MDR) alongside a comprehensive portfolio of cybersecurity technologies - including endpoint, network, email, and cloud security, extended detection and response (XDR), identity threat detection and response (ITDR), and next-gen SIEM. Together with expert advisory services, these capabilities help organizations proactively reduce risk and respond faster, with the visibility and scalability needed to stay ahead of evolving threats. Sophos goes to market with a global partner ecosystem, including Managed Service Providers (MSPs), Managed Security Service Providers (MSSPs), resellers and distributors, marketplace integrations, and cyber risk partners, giving organizations the flexibility to choose trusted relationships when securing their business. Sophos is headquartered in Oxford, U.K. More information is available at . Role Summary As a member of the Sophos Agentic AI team, the Software Engineer II designs, builds and supports reliable AI-powered cybersecurity capabilities. The role applies sound software engineering practices to moderately scoped, varied assignments, collaborating with experienced engineers and cross-functional partners to deliver secure, scalable services and customer value. Work with engineering leads, architects, product management and delivery partners to understand requirements, clarify technical options and contribute to implementation plans. Design, develop, test and maintain cloud-native microservices and REST APIs using Python and relevant frameworks such as FastAPI , FastMCP and Temporal. Contribute to LLM-powered applications and the supporting services used to develop, deploy, observe and operate them. Integrate data technologies such as PostgreSQL, Redis and Elasticsearch, following established patterns for performance, reliability and maintainability. Deliver assigned features or components through design, implementation, code review, testing, deployment and production monitoring, seeking guidance for complex or unfamiliar work. Investigate and resolve defects in distributed systems using structured analysis, logs, metrics and appropriate debugging tools. Contribute to containerised and event-driven services using Docker, Kubernetes, CI/CD pipelines and AWS services. Write clear, maintainable and well tested code, and participate constructively in peer reviews and technical discussions. Collaborate with Product Management, DevOps, Quality Assurance, security specialists and other developers to manage dependencies and support iterative delivery. Apply secure development, data handling and responsible AI practices, including appropriate verification of AI assisted outputs and use of approved tools and accounts. Share knowledge with colleagues, contribute to team documentation and provide task specific support to less experienced team members where appropriate. Keep technical knowledge current in software engineering, cloud technologies, Generative AI and cybersecurity, and suggest practical improvements within the team's scope. Degree in Computer Science, Software Engineering or a related discipline, or equivalent practical experience. Relevant professional software development experience delivering production code within a collaborative engineering environment. Practical development of web services, microservices or REST APIs using Python or a comparable language. Involvement across the software delivery lifecycle, including design, implementation, testing, deployment and operational support. Application of structured problem solving to varied technical issues within established engineering standards and practices. Sound Python development skills and the ability to produce readable, maintainable and tested code. Working knowledge of API development and a framework such as FastAPI, Flask or Django. Working knowledge of AWS services and cloud native application concepts. Working knowledge of Docker, Kubernetes, CI/CD and Unix/Linux development environments. Ability to use SQL and data stores such as PostgreSQL or Redis; ability to learn related platforms such as Elasticsearch. Ability to analyse technical information, exercise judgement within defined practices and elevate appropriately when risk or complexity exceeds role scope. Clear written and verbal communication, with the ability to work productively across engineering and product disciplines. Ability to use approved AI assisted development tools responsibly, verify generated outputs and protect confidential, customer and personal data. Nice to Have Contribution to Generative AI, large language model or AI enabled software solutions. Work with cloud native or distributed systems in a cybersecurity, data intensive or similarly complex domain. Task specific coaching, knowledge sharing or support for peers or less experienced colleagues. Knowledge of Temporal, event driven architectures or large scale data processing. Understanding of AI agent patterns, retrieval augmented generation or conversational AI systems. Knowledge of cybersecurity products or concepts such as XDR, MDR, SIEM or SOAR. Familiarity with AI assisted coding tools such as Claude Code, Cursor or Codex. In Canada, the base salary for this role ranges from $86,000 to $144,000. In addition to base salary, we offer additional compensation including bonus eligibility and a comprehensive benefits package. A candidate's specific pay within this range will depend on a variety of factors, including job related skills, training, location, experience, relevant education, certifications, and other business and organizational needs. What's Great About Sophos? Sophos operates a remote first working model, making remote work the primary option for most employees. However, some roles may necessitate a hybrid approach. While we are a remote first organization, applicants must have legal authorization to work in the jurisdiction where the position is posted, without requiring employer sponsorship. Our people - we innovate and create, all of which are accompanied by a great sense of fun and team spirit Employee led diversity and inclusion networks that build community and provide education and advocacy Annual charity and fundraising initiatives and volunteer days for employees to support local communities Global employee sustainability initiatives to reduce our environmental footprint Global fitness and trivia competitions to keep our bodies and minds sharp Global wellbeing days for employees to relax and recharge Monthly wellbeing webinars and training to support employee health and wellbeing Our Commitment To You We're proud of the diverse and inclusive environment we have at Sophos, and we're committed to ensuring equality of opportunity. We believe that diversity, combined with excellence, builds a better Sophos, so we encourage applicants who can contribute to the diversity of our team. All applicants will be treated in a fair and equal manner and in accordance with the law regardless of gender, sex, gender reassignment, marital status, race, religion or belief, color, age, military veteran status, disability, pregnancy, maternity or sexual orientation. We want to give you every opportunity to show us your best self, so if there are any adjustments we could make to the recruitment and selection process to support you, please let us know. Data Protection If you choose to explore an opportunity, and subsequently share your CV or other personal details with Sophos, these details will be held by Sophos for 12 months in accordance with our Privacy Policy and used by our recruitment team to contact you regarding this or other relevant opportunities at Sophos. If you would like Sophos to delete or update your details at any time, please follow the steps set out in the Privacy Policy describing your individual rights. For more information on Sophos' data protection practices, please consult our Privacy Policy Cybersecurity as a Service Delivered Sophos
Sep 26, 2026
Full time
About Us Sophos is a cybersecurity leader defending 600,000 organizations globally with an AI-driven platform and expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection, and response. Sophos offers industry-leading managed detection and response (MDR) alongside a comprehensive portfolio of cybersecurity technologies - including endpoint, network, email, and cloud security, extended detection and response (XDR), identity threat detection and response (ITDR), and next-gen SIEM. Together with expert advisory services, these capabilities help organizations proactively reduce risk and respond faster, with the visibility and scalability needed to stay ahead of evolving threats. Sophos goes to market with a global partner ecosystem, including Managed Service Providers (MSPs), Managed Security Service Providers (MSSPs), resellers and distributors, marketplace integrations, and cyber risk partners, giving organizations the flexibility to choose trusted relationships when securing their business. Sophos is headquartered in Oxford, U.K. More information is available at . Role Summary As a member of the Sophos Agentic AI team, the Software Engineer II designs, builds and supports reliable AI-powered cybersecurity capabilities. The role applies sound software engineering practices to moderately scoped, varied assignments, collaborating with experienced engineers and cross-functional partners to deliver secure, scalable services and customer value. Work with engineering leads, architects, product management and delivery partners to understand requirements, clarify technical options and contribute to implementation plans. Design, develop, test and maintain cloud-native microservices and REST APIs using Python and relevant frameworks such as FastAPI , FastMCP and Temporal. Contribute to LLM-powered applications and the supporting services used to develop, deploy, observe and operate them. Integrate data technologies such as PostgreSQL, Redis and Elasticsearch, following established patterns for performance, reliability and maintainability. Deliver assigned features or components through design, implementation, code review, testing, deployment and production monitoring, seeking guidance for complex or unfamiliar work. Investigate and resolve defects in distributed systems using structured analysis, logs, metrics and appropriate debugging tools. Contribute to containerised and event-driven services using Docker, Kubernetes, CI/CD pipelines and AWS services. Write clear, maintainable and well tested code, and participate constructively in peer reviews and technical discussions. Collaborate with Product Management, DevOps, Quality Assurance, security specialists and other developers to manage dependencies and support iterative delivery. Apply secure development, data handling and responsible AI practices, including appropriate verification of AI assisted outputs and use of approved tools and accounts. Share knowledge with colleagues, contribute to team documentation and provide task specific support to less experienced team members where appropriate. Keep technical knowledge current in software engineering, cloud technologies, Generative AI and cybersecurity, and suggest practical improvements within the team's scope. Degree in Computer Science, Software Engineering or a related discipline, or equivalent practical experience. Relevant professional software development experience delivering production code within a collaborative engineering environment. Practical development of web services, microservices or REST APIs using Python or a comparable language. Involvement across the software delivery lifecycle, including design, implementation, testing, deployment and operational support. Application of structured problem solving to varied technical issues within established engineering standards and practices. Sound Python development skills and the ability to produce readable, maintainable and tested code. Working knowledge of API development and a framework such as FastAPI, Flask or Django. Working knowledge of AWS services and cloud native application concepts. Working knowledge of Docker, Kubernetes, CI/CD and Unix/Linux development environments. Ability to use SQL and data stores such as PostgreSQL or Redis; ability to learn related platforms such as Elasticsearch. Ability to analyse technical information, exercise judgement within defined practices and elevate appropriately when risk or complexity exceeds role scope. Clear written and verbal communication, with the ability to work productively across engineering and product disciplines. Ability to use approved AI assisted development tools responsibly, verify generated outputs and protect confidential, customer and personal data. Nice to Have Contribution to Generative AI, large language model or AI enabled software solutions. Work with cloud native or distributed systems in a cybersecurity, data intensive or similarly complex domain. Task specific coaching, knowledge sharing or support for peers or less experienced colleagues. Knowledge of Temporal, event driven architectures or large scale data processing. Understanding of AI agent patterns, retrieval augmented generation or conversational AI systems. Knowledge of cybersecurity products or concepts such as XDR, MDR, SIEM or SOAR. Familiarity with AI assisted coding tools such as Claude Code, Cursor or Codex. In Canada, the base salary for this role ranges from $86,000 to $144,000. In addition to base salary, we offer additional compensation including bonus eligibility and a comprehensive benefits package. A candidate's specific pay within this range will depend on a variety of factors, including job related skills, training, location, experience, relevant education, certifications, and other business and organizational needs. What's Great About Sophos? Sophos operates a remote first working model, making remote work the primary option for most employees. However, some roles may necessitate a hybrid approach. While we are a remote first organization, applicants must have legal authorization to work in the jurisdiction where the position is posted, without requiring employer sponsorship. Our people - we innovate and create, all of which are accompanied by a great sense of fun and team spirit Employee led diversity and inclusion networks that build community and provide education and advocacy Annual charity and fundraising initiatives and volunteer days for employees to support local communities Global employee sustainability initiatives to reduce our environmental footprint Global fitness and trivia competitions to keep our bodies and minds sharp Global wellbeing days for employees to relax and recharge Monthly wellbeing webinars and training to support employee health and wellbeing Our Commitment To You We're proud of the diverse and inclusive environment we have at Sophos, and we're committed to ensuring equality of opportunity. We believe that diversity, combined with excellence, builds a better Sophos, so we encourage applicants who can contribute to the diversity of our team. All applicants will be treated in a fair and equal manner and in accordance with the law regardless of gender, sex, gender reassignment, marital status, race, religion or belief, color, age, military veteran status, disability, pregnancy, maternity or sexual orientation. We want to give you every opportunity to show us your best self, so if there are any adjustments we could make to the recruitment and selection process to support you, please let us know. Data Protection If you choose to explore an opportunity, and subsequently share your CV or other personal details with Sophos, these details will be held by Sophos for 12 months in accordance with our Privacy Policy and used by our recruitment team to contact you regarding this or other relevant opportunities at Sophos. If you would like Sophos to delete or update your details at any time, please follow the steps set out in the Privacy Policy describing your individual rights. For more information on Sophos' data protection practices, please consult our Privacy Policy Cybersecurity as a Service Delivered Sophos
Description The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. Key job responsibilities Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs Providing technical guidance and troubleshooting support throughout project delivery Collaborating with stakeholders to gather requirements and propose effective migration strategies Acting as a trusted advisor to customers on industry trends and emerging technologies Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts 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 AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 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 as technical specialist in design and architecture Experience in cloud based solution (AWS or equivalent), system, network and operating system 3+ years of experience in cloud architecture and implementation 3+ years of experience as a contact center technology architect, enterprise IT Architect or senior contact center developer working with leading contact center technology platforms and applications, such as Amazon Connect, Avaya, Cisco, Genesys, NICE InContact, Salesforce, etc. 2+ years designing and implementing NLP/NLU (IVR or chat) solutions using at least one major conversational AI framework (e.g., Rasa, Dialogflow, Lex, or Azure Bot Service) at enterprise scale in a contact center environment 2+ years hands-on coding experience with REST APIs and web services, including successful integration of 3+ contact center platforms (e.g., Genesys, Amazon Connect, Five9) Preferred Qualifications AWS Professional level certification Knowledge of security and compliance standards including HIPAA and GDPR Experience communicating technical concepts to diverse audiences in pre-sales environments Experience scripting for automation (e.g., Python, Perl, Ruby) AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred Knowledge of Amazon Connect or Amazon Lex capabilities, benefits, and required deployment skills Experience incorporating generative AI into the contact center (voice or chat bots, agent assist or next best action) to answer questions or drive self-service experiences, including architecture design, model selection and integration, prompt engineering, and data preparation 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 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. Company - AWS EMEA SARL (UK Branch) Job ID: A
Sep 26, 2026
Full time
Description The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. Key job responsibilities Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs Providing technical guidance and troubleshooting support throughout project delivery Collaborating with stakeholders to gather requirements and propose effective migration strategies Acting as a trusted advisor to customers on industry trends and emerging technologies Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts 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 AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 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 as technical specialist in design and architecture Experience in cloud based solution (AWS or equivalent), system, network and operating system 3+ years of experience in cloud architecture and implementation 3+ years of experience as a contact center technology architect, enterprise IT Architect or senior contact center developer working with leading contact center technology platforms and applications, such as Amazon Connect, Avaya, Cisco, Genesys, NICE InContact, Salesforce, etc. 2+ years designing and implementing NLP/NLU (IVR or chat) solutions using at least one major conversational AI framework (e.g., Rasa, Dialogflow, Lex, or Azure Bot Service) at enterprise scale in a contact center environment 2+ years hands-on coding experience with REST APIs and web services, including successful integration of 3+ contact center platforms (e.g., Genesys, Amazon Connect, Five9) Preferred Qualifications AWS Professional level certification Knowledge of security and compliance standards including HIPAA and GDPR Experience communicating technical concepts to diverse audiences in pre-sales environments Experience scripting for automation (e.g., Python, Perl, Ruby) AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred Knowledge of Amazon Connect or Amazon Lex capabilities, benefits, and required deployment skills Experience incorporating generative AI into the contact center (voice or chat bots, agent assist or next best action) to answer questions or drive self-service experiences, including architecture design, model selection and integration, prompt engineering, and data preparation 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 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. Company - AWS EMEA SARL (UK Branch) Job ID: A
Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive. Your day at NTT DATA Primary Responsibilities Client Engagement & Delivery Data Pipeline Development (Batch and Streaming) Databricks & Lakehouse Architectures Data Modelling & Optimisation (Delta Lake, Medallion architecture) Collaboration & Best Practices Quality, Governance & Security Business Relationships Solution Architects Data Engineers, Developers, ML Engineers, and Analysts Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership To thrive in this role, you need to have: Key Competencies Proven experience in data engineering and pipeline development on Databricks and cloud-native platforms. Strong consulting values with ability to collaborate effectively in client-facing environments. Hands-on expertise across the data lifecycle: ingestion, transformation, modelling, governance, and consumption. Strong problem-solving, analytical, and communication skills. Experience leading or mentoring teams of engineers to deliver high-quality scalable data solutions. Technical Expertise Deep expertise with the Databricks platform (Spark/PySpark/Scala, Delta Lake, Unity Catalog, MLflow). Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent. Strong SQL and Python (or equivalent language) skills for data manipulation and automation. Hands-on experience with cloud platforms (AWS, Azure, GCP). Familiarity with Databricks Workflows and other orchestration tools. Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon). Familiarity with medallion architectures, data lakehouse principles and distributed data processing. Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines. Understanding of data governance, security, and compliance frameworks. Exposure to AI/ML workloads desirable. Experience, Qualifications, and Education Experience: Minimum 5-8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years working with Databricks. Education: University degree required. Preferred: BSc/MSc in Computer Science, Data Engineering, or related field Databricks certifications (Data Engineer Professional) highly desirable. Measures of Success Delivery of high-performing, scalable, and secure data pipelines aligned to client requirements. High client satisfaction and successful adoption of Databricks-based solutions. Demonstrated ability to innovate and improve data engineering practices. Contribution to the growth of the practice through reusable assets, accelerators, and technical leadership. About NTT DATA NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us.
Sep 26, 2026
Full time
Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive. Your day at NTT DATA Primary Responsibilities Client Engagement & Delivery Data Pipeline Development (Batch and Streaming) Databricks & Lakehouse Architectures Data Modelling & Optimisation (Delta Lake, Medallion architecture) Collaboration & Best Practices Quality, Governance & Security Business Relationships Solution Architects Data Engineers, Developers, ML Engineers, and Analysts Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership To thrive in this role, you need to have: Key Competencies Proven experience in data engineering and pipeline development on Databricks and cloud-native platforms. Strong consulting values with ability to collaborate effectively in client-facing environments. Hands-on expertise across the data lifecycle: ingestion, transformation, modelling, governance, and consumption. Strong problem-solving, analytical, and communication skills. Experience leading or mentoring teams of engineers to deliver high-quality scalable data solutions. Technical Expertise Deep expertise with the Databricks platform (Spark/PySpark/Scala, Delta Lake, Unity Catalog, MLflow). Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent. Strong SQL and Python (or equivalent language) skills for data manipulation and automation. Hands-on experience with cloud platforms (AWS, Azure, GCP). Familiarity with Databricks Workflows and other orchestration tools. Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon). Familiarity with medallion architectures, data lakehouse principles and distributed data processing. Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines. Understanding of data governance, security, and compliance frameworks. Exposure to AI/ML workloads desirable. Experience, Qualifications, and Education Experience: Minimum 5-8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years working with Databricks. Education: University degree required. Preferred: BSc/MSc in Computer Science, Data Engineering, or related field Databricks certifications (Data Engineer Professional) highly desirable. Measures of Success Delivery of high-performing, scalable, and secure data pipelines aligned to client requirements. High client satisfaction and successful adoption of Databricks-based solutions. Demonstrated ability to innovate and improve data engineering practices. Contribution to the growth of the practice through reusable assets, accelerators, and technical leadership. About NTT DATA NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us.
Amazon Web Services (AWS) is seeking a Solutions Architect within the Strategic Accounts team to partner with enterprise customers on digital transformation journeys. You will blend business acumen with deep technical guidance to design cloud architectures using AWS services and guide customers through cloud adoption at scale. You will work with product teams, services, marketing and professional units to articulate business value, influence direction, and help organisations reinvent their cloud
Sep 26, 2026
Full time
Amazon Web Services (AWS) is seeking a Solutions Architect within the Strategic Accounts team to partner with enterprise customers on digital transformation journeys. You will blend business acumen with deep technical guidance to design cloud architectures using AWS services and guide customers through cloud adoption at scale. You will work with product teams, services, marketing and professional units to articulate business value, influence direction, and help organisations reinvent their cloud
Job title: Senior Scala Engineer Rate: up to 637 per day - Umbrella only Start date: 14/12/2026 Duration: 6 months Location: Stratford, London (hybrid remote working) Clearance: Active SC clearance required CIP is driven by the principal need to detect and prevent fraudulent access to taxpayer data and prevent organised repayment fraud. Attribute Reputation is the process through which large amounts of data are collated from tax transactions to glean insights into common attributes. In particular, we assert their validity and derive risk scores to transactions based on whether the attributes in question, or other attributes used in combination with that attribute, have been used in historic transactions associated with past suspicious or fraudulent activity. Collaboration with other data product and front-end product teams will form the core of creating a frictionless customer experience to exploit the digital audit data that CIP holds. Insights from Attribute Reputation are crucial for the company's services, and the team is pioneering data sharing with other government departments and local authorities. Role description As a Senior Scala Engineer in the AttRep Team you will define and shape the way we deliver the front-end Attribute Reputation services (APIs) to Digital services to provide attribute insights for fraud detection and prevention across the business. This work involves: Help design a future vision for our Att Rep services, including consolidation, to allow us to provide a consistent and easy to use experience for users. Consideration for delivering high-volume, high-availability and low-latency services Improvement of our existing services Reducing our maintenance efforts through incremental re-architecting - e.g. reducing the number of technologies that are required to support the pipeline & using managed services where appropriate. Design and develop clean functioning, testable code on the back-end, write effective APIs, develop and manage well-functioning databases and applications with security and data protection settings Collaborate with the AttRep product owner, business analyst, data engineers and the wider CIP teams to ideate software solutions Desired behaviours Be proactive Responsible and motivated self-starter User centric attitude Prioritise people over processes Drive lean results; understand the value of iterative delivery Be evidence driven Advocate for 'doing the right thing' Help others understand your work through co-participatory design, pairing, demos and documentation Make complex look and sound simple Be kind, creative and convincing How we work: We favour: Breaking down a high-level problem as a team upfront and delivering the core value first Delivering individual business benefits to production, rather than bundling tasks together Collaboration, communication, regular pairing and thoughtful course-correction Taking the time to write simple and easy to maintain code Willingness to make and participate in improvements for the greater good of CIP Working cross-discipline rather than adhering to tightly defined roles. Knowledge & experience Security clearance (SC-level) API design Data analysis Databases AWS suite experience Awareness of Site Reliability Engineering and support Skilled at returning services to good states in outage situations Understands the importance of testing and automation Working in a lean, agile environment Working in a "you build it you run it" team Experience coding in continuous integration context Skills & technologies Essential: Scala Play or other MVC/Rest API frameworks SQL AWS Suite Continuous Integration Agile methodologies Desirable: Containerisation principles / Docker Jenkins Kibana Grafana Airflow If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Sep 26, 2026
Contractor
Job title: Senior Scala Engineer Rate: up to 637 per day - Umbrella only Start date: 14/12/2026 Duration: 6 months Location: Stratford, London (hybrid remote working) Clearance: Active SC clearance required CIP is driven by the principal need to detect and prevent fraudulent access to taxpayer data and prevent organised repayment fraud. Attribute Reputation is the process through which large amounts of data are collated from tax transactions to glean insights into common attributes. In particular, we assert their validity and derive risk scores to transactions based on whether the attributes in question, or other attributes used in combination with that attribute, have been used in historic transactions associated with past suspicious or fraudulent activity. Collaboration with other data product and front-end product teams will form the core of creating a frictionless customer experience to exploit the digital audit data that CIP holds. Insights from Attribute Reputation are crucial for the company's services, and the team is pioneering data sharing with other government departments and local authorities. Role description As a Senior Scala Engineer in the AttRep Team you will define and shape the way we deliver the front-end Attribute Reputation services (APIs) to Digital services to provide attribute insights for fraud detection and prevention across the business. This work involves: Help design a future vision for our Att Rep services, including consolidation, to allow us to provide a consistent and easy to use experience for users. Consideration for delivering high-volume, high-availability and low-latency services Improvement of our existing services Reducing our maintenance efforts through incremental re-architecting - e.g. reducing the number of technologies that are required to support the pipeline & using managed services where appropriate. Design and develop clean functioning, testable code on the back-end, write effective APIs, develop and manage well-functioning databases and applications with security and data protection settings Collaborate with the AttRep product owner, business analyst, data engineers and the wider CIP teams to ideate software solutions Desired behaviours Be proactive Responsible and motivated self-starter User centric attitude Prioritise people over processes Drive lean results; understand the value of iterative delivery Be evidence driven Advocate for 'doing the right thing' Help others understand your work through co-participatory design, pairing, demos and documentation Make complex look and sound simple Be kind, creative and convincing How we work: We favour: Breaking down a high-level problem as a team upfront and delivering the core value first Delivering individual business benefits to production, rather than bundling tasks together Collaboration, communication, regular pairing and thoughtful course-correction Taking the time to write simple and easy to maintain code Willingness to make and participate in improvements for the greater good of CIP Working cross-discipline rather than adhering to tightly defined roles. Knowledge & experience Security clearance (SC-level) API design Data analysis Databases AWS suite experience Awareness of Site Reliability Engineering and support Skilled at returning services to good states in outage situations Understands the importance of testing and automation Working in a lean, agile environment Working in a "you build it you run it" team Experience coding in continuous integration context Skills & technologies Essential: Scala Play or other MVC/Rest API frameworks SQL AWS Suite Continuous Integration Agile methodologies Desirable: Containerisation principles / Docker Jenkins Kibana Grafana Airflow If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Synergize Consulting is looking for an experienced Enterprise Architect specialising in Software Engineering and Digital Engineering to support a major programme within the UK defence and aerospace sector. This is an excellent opportunity to work at the heart of a sophisticated Digital Engineering environment, helping shape how a Software Factory integrates across people, process and technology and supporting the development of capabilities including Digital Twin, Digital Thread and modern software engineering environments. You'll act as the architectural focal point for Software Engineering, working closely with Product Owners, Delivery Managers, Engineers and other architects to shape the wider Digital Engineering landscape. What you'll be doing: Own and develop the Software Engineering architecture within the wider Digital Engineering environment Produce and maintain High-Level and Low-Level Designs (HLD/LLD) Architect modern software development / Software Factory environments Integrate architecture across people, process and technology Support Digital Twin and Digital Thread capabilities across the engineering lifecycle Provide architectural leadership across software engineering, systems, data and technology domains Ensure solutions meet Secure by Design, governance, security and compliance requirements Translate enterprise architecture principles into practical solution designs, standards and roadmaps Identify opportunities for architectural reuse across Digital Engineering value streams Support technology evaluations, proofs of concept and strategic platform/tool selection Work with internal engineering teams, suppliers and Defence Prime stakeholders Support RFIs/RFQs and wider technical decision-making Drive innovation and adoption of emerging engineering technologies We're particularly interested in speaking with architects who have: Active SC clearance - this is mandatory; DV clearance would be highly advantageous Strong architecture experience within MOD, Defence Digital, UK Defence Primes or aerospace programmes 5+ years' Enterprise, Solution or Business Architecture experience Experience architecting software engineering/development environments Understanding of architecture across the full systems engineering lifecycle Strong knowledge of Digital Engineering principles Experience with Digital Thread and/or Digital Twin concepts Familiarity with Microsoft Azure and cloud architecture Knowledge of CI/CD and DevSecOps environments Experience working with recognised architecture frameworks such as TOGAF and/or ArchiMate Strong stakeholder management across engineering, architecture, delivery and product teams Experience with Docker, Kubernetes, SAFe, Power BI, data architecture/warehousing or transnational engineering programmes would also be beneficial. Relevant certifications such as TOGAF, Azure/AWS Architect, CISSP or ArchiMate would be highly desirable. Why this role? This isn't simply a traditional Enterprise Architecture position. You'll be working at the intersection of enterprise architecture, software engineering, systems engineering and Digital Engineering, helping shape the architecture that enables complex next-generation defence and aerospace programmes. You'll have the opportunity to influence how modern Software Factory capabilities integrate into the wider engineering ecosystem while helping establish the Digital Thread and Digital Twin capabilities required across the engineering lifecycle. Clearance: Active SC mandatory; DV preferred Sector: Defence / Aerospace / Digital Engineering If you're an security cleared architect with strong Defence/Aerospace and Software Engineering architecture experience, we'd be very interested in hearing from you.
Sep 25, 2026
Full time
Synergize Consulting is looking for an experienced Enterprise Architect specialising in Software Engineering and Digital Engineering to support a major programme within the UK defence and aerospace sector. This is an excellent opportunity to work at the heart of a sophisticated Digital Engineering environment, helping shape how a Software Factory integrates across people, process and technology and supporting the development of capabilities including Digital Twin, Digital Thread and modern software engineering environments. You'll act as the architectural focal point for Software Engineering, working closely with Product Owners, Delivery Managers, Engineers and other architects to shape the wider Digital Engineering landscape. What you'll be doing: Own and develop the Software Engineering architecture within the wider Digital Engineering environment Produce and maintain High-Level and Low-Level Designs (HLD/LLD) Architect modern software development / Software Factory environments Integrate architecture across people, process and technology Support Digital Twin and Digital Thread capabilities across the engineering lifecycle Provide architectural leadership across software engineering, systems, data and technology domains Ensure solutions meet Secure by Design, governance, security and compliance requirements Translate enterprise architecture principles into practical solution designs, standards and roadmaps Identify opportunities for architectural reuse across Digital Engineering value streams Support technology evaluations, proofs of concept and strategic platform/tool selection Work with internal engineering teams, suppliers and Defence Prime stakeholders Support RFIs/RFQs and wider technical decision-making Drive innovation and adoption of emerging engineering technologies We're particularly interested in speaking with architects who have: Active SC clearance - this is mandatory; DV clearance would be highly advantageous Strong architecture experience within MOD, Defence Digital, UK Defence Primes or aerospace programmes 5+ years' Enterprise, Solution or Business Architecture experience Experience architecting software engineering/development environments Understanding of architecture across the full systems engineering lifecycle Strong knowledge of Digital Engineering principles Experience with Digital Thread and/or Digital Twin concepts Familiarity with Microsoft Azure and cloud architecture Knowledge of CI/CD and DevSecOps environments Experience working with recognised architecture frameworks such as TOGAF and/or ArchiMate Strong stakeholder management across engineering, architecture, delivery and product teams Experience with Docker, Kubernetes, SAFe, Power BI, data architecture/warehousing or transnational engineering programmes would also be beneficial. Relevant certifications such as TOGAF, Azure/AWS Architect, CISSP or ArchiMate would be highly desirable. Why this role? This isn't simply a traditional Enterprise Architecture position. You'll be working at the intersection of enterprise architecture, software engineering, systems engineering and Digital Engineering, helping shape the architecture that enables complex next-generation defence and aerospace programmes. You'll have the opportunity to influence how modern Software Factory capabilities integrate into the wider engineering ecosystem while helping establish the Digital Thread and Digital Twin capabilities required across the engineering lifecycle. Clearance: Active SC mandatory; DV preferred Sector: Defence / Aerospace / Digital Engineering If you're an security cleared architect with strong Defence/Aerospace and Software Engineering architecture experience, we'd be very interested in hearing from you.
Role: Integration Architect Location: London, UK Type: FTC / FTE / Contract Inside/Outside Hybrid - 4 days office Mandatory Note: Hands-on Integration Architect with Banking Domain Experience, event driven Architecture, either Hands-on KAFKA or NATS Drive use of AI tools to improve development efficiency Hands-on Integration Architect for Project Compass, driving real-time Ledger (RTL), Payments, and FX systems integration within a large banking platform. Deep integration expertise + cloud-native mindset Strong communicator and technical leader Familiar with AI-assisted development tools NATS experience is required (Kafka/Pulsar accepted) Key Responsibilities: Define and own target-state integration architecture aligned with enterprise standards Lead end-to-end integration delivery across multiple systems and teams Design event-driven, API-first, cloud-native solutions (NATS, REST, async messaging) Create architecture artefacts (blueprints, APIs, ADRs) Act as integration authority across platforms and stakeholders Mentor teams on integration patterns, API governance, and best practices Drive use of AI tools to improve development efficiency Tech Stack: Integration: Event-driven architecture, NATS (or Kafka/Pulsar), messaging patterns Backend: Java, Spring Boot, microservices, REST/gRPC Cloud: AWS (EKS/ECS, SQS/SNS, API Gateway, Terraform) API: OpenAPI/AsyncAPI, versioning, governance Frontend: React/TypeScript (working knowledge) Domain Expertise (any of these) Real-Time Ledger (accounting, event sourcing) Payments (SWIFT, ISO 20022, settlement) FX (trade lifecycle, rates, positions) Risk/Limit Management Client onboarding (KYC, account setup) Experience Required: 15+ years in tech, 5+ years in integration architecture Proven delivery in large-scale financial/fintech systems Strong hands-on + stakeholder management capability Experience leading multi-team integrations
Sep 25, 2026
Full time
Role: Integration Architect Location: London, UK Type: FTC / FTE / Contract Inside/Outside Hybrid - 4 days office Mandatory Note: Hands-on Integration Architect with Banking Domain Experience, event driven Architecture, either Hands-on KAFKA or NATS Drive use of AI tools to improve development efficiency Hands-on Integration Architect for Project Compass, driving real-time Ledger (RTL), Payments, and FX systems integration within a large banking platform. Deep integration expertise + cloud-native mindset Strong communicator and technical leader Familiar with AI-assisted development tools NATS experience is required (Kafka/Pulsar accepted) Key Responsibilities: Define and own target-state integration architecture aligned with enterprise standards Lead end-to-end integration delivery across multiple systems and teams Design event-driven, API-first, cloud-native solutions (NATS, REST, async messaging) Create architecture artefacts (blueprints, APIs, ADRs) Act as integration authority across platforms and stakeholders Mentor teams on integration patterns, API governance, and best practices Drive use of AI tools to improve development efficiency Tech Stack: Integration: Event-driven architecture, NATS (or Kafka/Pulsar), messaging patterns Backend: Java, Spring Boot, microservices, REST/gRPC Cloud: AWS (EKS/ECS, SQS/SNS, API Gateway, Terraform) API: OpenAPI/AsyncAPI, versioning, governance Frontend: React/TypeScript (working knowledge) Domain Expertise (any of these) Real-Time Ledger (accounting, event sourcing) Payments (SWIFT, ISO 20022, settlement) FX (trade lifecycle, rates, positions) Risk/Limit Management Client onboarding (KYC, account setup) Experience Required: 15+ years in tech, 5+ years in integration architecture Proven delivery in large-scale financial/fintech systems Strong hands-on + stakeholder management capability Experience leading multi-team integrations
Working Environment The organisation is operating in a fast-evolving AI landscape, with multiple teams at different stages of maturity. Governance and structure are present but not rigid, and success depends on an ability to balance assurance, delivery pace and pragmatism. This work operates in a supportive, understanding, committed and inclusive team. You will engage with senior technical, delivery, commercial and business stakeholders, often operating in contested or ambiguous situations. The emphasis is on trust, judgement and clear reasoning rather than process for its own sake. What You'll Be Doing - Operate as Lead Enterprise Architect for AI-enabled initiatives across the organisation - Establish and evolve an AI architecture capability aligned to the central AI hub - Define and maintain coherent architectures across strategy, delivery, operations and assurance - Translate architectural intent and technical roadmaps into usable, supportable products and services - Provide architectural leadership and challenge to teams adopting AI - Shape approaches to agentic and AI-enabled systems, balancing opportunity with compliance and risk - Lead architectural decision-making in ambiguous or complex situations, clearly articulating trade-offs - Provide architectural input to cloud adoption and integration, particularly across AWS-based platforms - Build alignment and shared understanding across diverse stakeholder groups Your Experience To be successful in this role, you will bring: - Significant experience operating as a Senior or Lead Enterprise Architect - Proven ability to work across the full enterprise context, balancing technical, organisational and commercial considerations - Experience shaping architecture where requirements are incomplete or evolving - Strong understanding of AI-enabled architectures and adoption patterns - Solid cloud architecture experience, including integrating cloud services into enterprise platforms - Experience operating in regulated, high-assurance or compliance-heavy environments - Credibility communicating architectural decisions clearly to technical and non-technical audiences - The ability to influence outcomes through judgement, relationships and trust rather than instruction In Return You will operate at the point where AI ambition meets organisational reality, helping shape how complex systems evolve over time. This is an opportunity to apply deep architectural judgement, influence significant decisions, and help ensure AI adoption is sustainable, coherent and valuable at enterprise scale. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.
Sep 25, 2026
Full time
Working Environment The organisation is operating in a fast-evolving AI landscape, with multiple teams at different stages of maturity. Governance and structure are present but not rigid, and success depends on an ability to balance assurance, delivery pace and pragmatism. This work operates in a supportive, understanding, committed and inclusive team. You will engage with senior technical, delivery, commercial and business stakeholders, often operating in contested or ambiguous situations. The emphasis is on trust, judgement and clear reasoning rather than process for its own sake. What You'll Be Doing - Operate as Lead Enterprise Architect for AI-enabled initiatives across the organisation - Establish and evolve an AI architecture capability aligned to the central AI hub - Define and maintain coherent architectures across strategy, delivery, operations and assurance - Translate architectural intent and technical roadmaps into usable, supportable products and services - Provide architectural leadership and challenge to teams adopting AI - Shape approaches to agentic and AI-enabled systems, balancing opportunity with compliance and risk - Lead architectural decision-making in ambiguous or complex situations, clearly articulating trade-offs - Provide architectural input to cloud adoption and integration, particularly across AWS-based platforms - Build alignment and shared understanding across diverse stakeholder groups Your Experience To be successful in this role, you will bring: - Significant experience operating as a Senior or Lead Enterprise Architect - Proven ability to work across the full enterprise context, balancing technical, organisational and commercial considerations - Experience shaping architecture where requirements are incomplete or evolving - Strong understanding of AI-enabled architectures and adoption patterns - Solid cloud architecture experience, including integrating cloud services into enterprise platforms - Experience operating in regulated, high-assurance or compliance-heavy environments - Credibility communicating architectural decisions clearly to technical and non-technical audiences - The ability to influence outcomes through judgement, relationships and trust rather than instruction In Return You will operate at the point where AI ambition meets organisational reality, helping shape how complex systems evolve over time. This is an opportunity to apply deep architectural judgement, influence significant decisions, and help ensure AI adoption is sustainable, coherent and valuable at enterprise scale. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.
Role: Backend Systems Developer Salary: £40,000 - £60,000 Location: Liverpool Working Pattern: Hybrid We're working with an ambitious, technology-led organisation that is continuing to invest significantly in its engineering function. They're looking for an experienced Backend Systems Developer to join the team and play a key role in developing and improving the integrations that underpin their digital platform. This is a great opportunity to work on business-critical systems where performance, scalability and reliability are essential. You'll be responsible for developing backend services that connect customer-facing applications with warehouse, ERP, finance and wider operational platforms, supporting the accurate and efficient movement of millions of data points every day. If you enjoy working on complex integrations, developing robust backend services and solving technical challenges, this could be an excellent opportunity to take you forward. Responsibilities Design, develop and maintain backend integrations between digital platforms and core business systems, including warehouse, ERP and finance solutions. Build scalable middleware to support order processing, inventory synchronisation and real-time data exchange. Create and maintain REST APIs and event-driven integrations across multiple systems. Implement queue-based processing to support high-volume asynchronous workloads. Improve system resilience through retry mechanisms, circuit breakers and fault-tolerant design. Work closely with engineers, product teams and operational stakeholders to deliver high-quality technical solutions. Contribute to engineering standards and best practice through code reviews, mentoring and knowledge sharing. Develop modern, cloud-ready services using clean, maintainable and scalable architecture. Monitor system performance and identify opportunities to improve reliability, scalability and efficiency. Essentials 4+ years' commercial experience in backend software development using a strongly typed programming language. Experience integrating business-critical systems with ERP, warehouse management or finance platforms. Strong SQL skills, including database design and performance optimisation. Good understanding of software architecture principles, including SOLID, Clean Architecture and Domain-Driven Design. Experience with modern development practices including CI/CD, automated testing and Git. Hands-on experience with Docker and containerised applications. Experience working with message queues and event-driven architectures. Strong communication skills and the ability to collaborate effectively with both technical and non-technical stakeholders. Desirables Experience working with AWS or another cloud platform. Knowledge of Kubernetes or container orchestration. Exposure to GraphQL. Experience using AI-assisted development tools. Understanding of secure software development and data protection best practices. Previous experience working within high-transaction, high-availability or fast-paced environments.
Sep 25, 2026
Full time
Role: Backend Systems Developer Salary: £40,000 - £60,000 Location: Liverpool Working Pattern: Hybrid We're working with an ambitious, technology-led organisation that is continuing to invest significantly in its engineering function. They're looking for an experienced Backend Systems Developer to join the team and play a key role in developing and improving the integrations that underpin their digital platform. This is a great opportunity to work on business-critical systems where performance, scalability and reliability are essential. You'll be responsible for developing backend services that connect customer-facing applications with warehouse, ERP, finance and wider operational platforms, supporting the accurate and efficient movement of millions of data points every day. If you enjoy working on complex integrations, developing robust backend services and solving technical challenges, this could be an excellent opportunity to take you forward. Responsibilities Design, develop and maintain backend integrations between digital platforms and core business systems, including warehouse, ERP and finance solutions. Build scalable middleware to support order processing, inventory synchronisation and real-time data exchange. Create and maintain REST APIs and event-driven integrations across multiple systems. Implement queue-based processing to support high-volume asynchronous workloads. Improve system resilience through retry mechanisms, circuit breakers and fault-tolerant design. Work closely with engineers, product teams and operational stakeholders to deliver high-quality technical solutions. Contribute to engineering standards and best practice through code reviews, mentoring and knowledge sharing. Develop modern, cloud-ready services using clean, maintainable and scalable architecture. Monitor system performance and identify opportunities to improve reliability, scalability and efficiency. Essentials 4+ years' commercial experience in backend software development using a strongly typed programming language. Experience integrating business-critical systems with ERP, warehouse management or finance platforms. Strong SQL skills, including database design and performance optimisation. Good understanding of software architecture principles, including SOLID, Clean Architecture and Domain-Driven Design. Experience with modern development practices including CI/CD, automated testing and Git. Hands-on experience with Docker and containerised applications. Experience working with message queues and event-driven architectures. Strong communication skills and the ability to collaborate effectively with both technical and non-technical stakeholders. Desirables Experience working with AWS or another cloud platform. Knowledge of Kubernetes or container orchestration. Exposure to GraphQL. Experience using AI-assisted development tools. Understanding of secure software development and data protection best practices. Previous experience working within high-transaction, high-availability or fast-paced environments.
We're seeking a Senior Data Engineer to play a key role in designing and delivering scalable, cloud-based data solutions that support business-critical decision-making. You'll work across the full data lifecycle, building robust pipelines, optimising performance, and helping drive best practice within a growing data function. Client Details Our client is a forward-thinking organisation undergoing significant investment in its data and technology capabilities. Operating in a fast-paced environment, they are leveraging modern cloud technologies to transform how data is used across the business and create a more data-driven culture. Description Design, develop, and maintain scalable data pipelines using Python and Databricks. Build and optimise ETL/ELT workflows using Spark and Delta Lake. Develop and maintain data models and lakehouse architectures. Ensure high levels of data quality, reliability, governance, and security. Optimise the performance of distributed data processing workloads. Collaborate with analysts, engineers, and data scientists to support reporting and advanced analytics initiatives. Implement monitoring, logging, and alerting frameworks across data platforms. Support and mentor junior engineers while promoting engineering best practices. £700-900 Day Rate (Inside IR35) Contribute to the continual evolution of the organisation's data platform and architecture. Profile 10+ years' experience in Data Engineering. Strong commercial experience with Python. Advanced hands-on knowledge of Databricks, including notebooks, workflows, jobs, and Delta Lake. Strong experience with Apache Spark / PySpark. Proven track record building and maintaining scalable ETL pipelines. Strong SQL and data modelling expertise. Experience working within AWS, Azure, or GCP environments. Exposure to modern data warehousing platforms such as Snowflake, BigQuery, or Redshift. Familiarity with orchestration tools including Airflow or Databricks Workflows. Excellent communication skills with the ability to engage technical and non-technical stakeholders. Strong problem-solving mindset and a passion for delivering high-quality data solutions. Job Offer Opportunity to influence the direction of a modern data platform. Exposure to the latest cloud, data engineering, and lakehouse technologies. Collaborative and highly skilled technical environment. Clear opportunity to mentor others and shape engineering best practice. Flexible working arrangements.
Sep 25, 2026
Full time
We're seeking a Senior Data Engineer to play a key role in designing and delivering scalable, cloud-based data solutions that support business-critical decision-making. You'll work across the full data lifecycle, building robust pipelines, optimising performance, and helping drive best practice within a growing data function. Client Details Our client is a forward-thinking organisation undergoing significant investment in its data and technology capabilities. Operating in a fast-paced environment, they are leveraging modern cloud technologies to transform how data is used across the business and create a more data-driven culture. Description Design, develop, and maintain scalable data pipelines using Python and Databricks. Build and optimise ETL/ELT workflows using Spark and Delta Lake. Develop and maintain data models and lakehouse architectures. Ensure high levels of data quality, reliability, governance, and security. Optimise the performance of distributed data processing workloads. Collaborate with analysts, engineers, and data scientists to support reporting and advanced analytics initiatives. Implement monitoring, logging, and alerting frameworks across data platforms. Support and mentor junior engineers while promoting engineering best practices. £700-900 Day Rate (Inside IR35) Contribute to the continual evolution of the organisation's data platform and architecture. Profile 10+ years' experience in Data Engineering. Strong commercial experience with Python. Advanced hands-on knowledge of Databricks, including notebooks, workflows, jobs, and Delta Lake. Strong experience with Apache Spark / PySpark. Proven track record building and maintaining scalable ETL pipelines. Strong SQL and data modelling expertise. Experience working within AWS, Azure, or GCP environments. Exposure to modern data warehousing platforms such as Snowflake, BigQuery, or Redshift. Familiarity with orchestration tools including Airflow or Databricks Workflows. Excellent communication skills with the ability to engage technical and non-technical stakeholders. Strong problem-solving mindset and a passion for delivering high-quality data solutions. Job Offer Opportunity to influence the direction of a modern data platform. Exposure to the latest cloud, data engineering, and lakehouse technologies. Collaborative and highly skilled technical environment. Clear opportunity to mentor others and shape engineering best practice. Flexible working arrangements.
One of the big four are seeking an AWS Platform Engineer to join their team within Technology & Transformation. The team is focused on the technical delivery of new solutions that solve complex challenges for clients. You will help drive innovation and technology forward, collaborating with cross-functional teams and using cutting-edge tools. We are looking for an experienced cloud platform engineer with in-depth knowledge of engineering and architectural principles to design and build innovative platform solutions. Role: AWS Platform Engineer - Technology & Transformation Day rate: £550 - 650 per day Pay framework: Umbrella Company Start date: ASAP Contract duration: 6 months initially (with scope to extend) Location: Belfast. (hybrid role) Key Accountabilities: Solid and demonstrable experience in IT infrastructure and cloud engineering or architecture, with a deep working knowledge of compute, storage, networking, and cloud management principles applied in professional delivery contexts. A track record of designing, building, and maintaining cloud-based platforms and infrastructure, with a focus on AWS. Hands on experience with AWS, including practical delivery across core services such as Amazon EC2, Amazon EKS, Amazon RDS, Amazon Redshift, Amazon S3, Amazon VPC, AWS Identity and Access Management (IAM), AWS Lambda, and AWS App Runner or AWS Fargate. Proficient in Infrastructure as Code (IaC) using tools such as Terraform (including AWS), AWS CloudFormation, or the AWS Cloud Development Kit (AWS CDK). Background in CI/CD pipeline design and automation using tools such as Jenkins, GitLab CI/CD, AWS CodePipeline, AWS CodeBuild, or similar. Understanding of networking, security, and identity management in cloud environments, including AWS-specific best practices. Familiarity with monitoring, logging, and alerting tools (e.g., Prometheus, Grafana, the ELK stack, Amazon CloudWatch, and AWS X-Ray). Experience with version control systems (e.g., Git) and scripting languages (e.g., Python, Bash, Go). Ability to troubleshoot and optimise workloads for performance, cost, and reliability on AWS. Desirable experience and skills: Professional or specialty level AWS certification, Knowledge of site reliability engineering (SRE) principles and practices. Hands on experience with infrastructure-as-code tooling, particularly Terraform, AWS CloudFormation, or AWS CDK Working knowledge of AI and ML services on AWS, with a clear understanding of how platforms such as Amazon SageMaker, Amazon Bedrock, and Amazon Q Business can be positioned to drive measurable client outcomes. Experience with AWS billing, cost management, and optimisation, including services such as AWS Cost Explorer, AWS Budgets, and AWS Cost and Usage Reports. Exposure to data engineering or analytics workloads on AWS, such as AWS Glue, Amazon Redshift, Amazon Athena, Amazon Kinesis, Amazon SNS, or Amazon SQS, with an ability to contribute meaningfully to data-driven client programmes alongside specialist data teams. Apply today!
Sep 25, 2026
Full time
One of the big four are seeking an AWS Platform Engineer to join their team within Technology & Transformation. The team is focused on the technical delivery of new solutions that solve complex challenges for clients. You will help drive innovation and technology forward, collaborating with cross-functional teams and using cutting-edge tools. We are looking for an experienced cloud platform engineer with in-depth knowledge of engineering and architectural principles to design and build innovative platform solutions. Role: AWS Platform Engineer - Technology & Transformation Day rate: £550 - 650 per day Pay framework: Umbrella Company Start date: ASAP Contract duration: 6 months initially (with scope to extend) Location: Belfast. (hybrid role) Key Accountabilities: Solid and demonstrable experience in IT infrastructure and cloud engineering or architecture, with a deep working knowledge of compute, storage, networking, and cloud management principles applied in professional delivery contexts. A track record of designing, building, and maintaining cloud-based platforms and infrastructure, with a focus on AWS. Hands on experience with AWS, including practical delivery across core services such as Amazon EC2, Amazon EKS, Amazon RDS, Amazon Redshift, Amazon S3, Amazon VPC, AWS Identity and Access Management (IAM), AWS Lambda, and AWS App Runner or AWS Fargate. Proficient in Infrastructure as Code (IaC) using tools such as Terraform (including AWS), AWS CloudFormation, or the AWS Cloud Development Kit (AWS CDK). Background in CI/CD pipeline design and automation using tools such as Jenkins, GitLab CI/CD, AWS CodePipeline, AWS CodeBuild, or similar. Understanding of networking, security, and identity management in cloud environments, including AWS-specific best practices. Familiarity with monitoring, logging, and alerting tools (e.g., Prometheus, Grafana, the ELK stack, Amazon CloudWatch, and AWS X-Ray). Experience with version control systems (e.g., Git) and scripting languages (e.g., Python, Bash, Go). Ability to troubleshoot and optimise workloads for performance, cost, and reliability on AWS. Desirable experience and skills: Professional or specialty level AWS certification, Knowledge of site reliability engineering (SRE) principles and practices. Hands on experience with infrastructure-as-code tooling, particularly Terraform, AWS CloudFormation, or AWS CDK Working knowledge of AI and ML services on AWS, with a clear understanding of how platforms such as Amazon SageMaker, Amazon Bedrock, and Amazon Q Business can be positioned to drive measurable client outcomes. Experience with AWS billing, cost management, and optimisation, including services such as AWS Cost Explorer, AWS Budgets, and AWS Cost and Usage Reports. Exposure to data engineering or analytics workloads on AWS, such as AWS Glue, Amazon Redshift, Amazon Athena, Amazon Kinesis, Amazon SNS, or Amazon SQS, with an ability to contribute meaningfully to data-driven client programmes alongside specialist data teams. Apply today!
Description The Amazon Web Services Professional Services (ProServe) team is seeking a highly skilled and versatile Engagement Manager (EM) to join our team and lead the delivery of complex cloud solution projects. In this role you will combine technical expertise with strong project leadership skills to drive successful implementations of AWS-based solutions for our clients. You will bridge business requirements with technical solutions, facilitating technical discussions and ensuring alignment with customer outcomes. Applying AWS frameworks like Well-Architected and Cloud Adoption Framework while demonstrating technical credibility across diverse stakeholders, you will distill customer needs into clear technical requirements, decompose complex problems, and make informed trade-off decisions considering performance, scalability, security, and business impact. Possessing strong technology and project management experience, you will validate technical solutions against business goals, recognize when additional technical evaluation is needed, and manage technical risks. You will be expected to achieve and maintain relevant AWS certifications, develop domain-specific expertise, and effectively communicate technical concepts to both technical and business audiences. As you progress, you'll lead increasingly complex technical projects, shape cross-organizational technical strategies, and establish best practices in your domain. In this role you will apply your management and leadership capabilities to successfully execute project plans, proactively identify and manage risks, resolve issues, elevate when appropriate, and drive projects to successful completion, while exceeding customer expectation. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Eligibility for UK Government Security Clearance is required for this role (). Key job responsibilities Leading and managing complex cloud migration, modernization and implementation projects. Leveraging comprehensive knowledge of AWS services, architectures, and best practices to guide technical decisions and strategic planning. Bridging business requirements with technical solutions, facilitating engineering discussions and ensuring alignment with customer business outcomes. Distilling customer needs into clear technical requirements and map them to business outcomes. Decomposing complex technical problems into actionable, deliverable solutions. Contributing to technical documentation and define documentation standards. A day in the life Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, 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. 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 Experience working as a Scrum Master or Product Owner across multiple cross-functional teams Experience in leading the delivery of IT projects with external customers or equivalent Experience with cloud computing technologies Experience in project management of technical programs Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience Preferred Qualifications Experience in program or engagement management, leading other project managers to deliver a program with multiple and concurrent projects Experience with the AWS platform, web services, software development, or related technologie Knowledge of AWS services Experience with AWS technologies Project Management Professional (PMP) and/or AWS Certified Solutions Architect - Associate Proven ability to establish technical credibility with engineering teams and senior technical decision-makers 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 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. Company AWS EMEA SARL (UK Branch) Job ID: A
Sep 25, 2026
Full time
Description The Amazon Web Services Professional Services (ProServe) team is seeking a highly skilled and versatile Engagement Manager (EM) to join our team and lead the delivery of complex cloud solution projects. In this role you will combine technical expertise with strong project leadership skills to drive successful implementations of AWS-based solutions for our clients. You will bridge business requirements with technical solutions, facilitating technical discussions and ensuring alignment with customer outcomes. Applying AWS frameworks like Well-Architected and Cloud Adoption Framework while demonstrating technical credibility across diverse stakeholders, you will distill customer needs into clear technical requirements, decompose complex problems, and make informed trade-off decisions considering performance, scalability, security, and business impact. Possessing strong technology and project management experience, you will validate technical solutions against business goals, recognize when additional technical evaluation is needed, and manage technical risks. You will be expected to achieve and maintain relevant AWS certifications, develop domain-specific expertise, and effectively communicate technical concepts to both technical and business audiences. As you progress, you'll lead increasingly complex technical projects, shape cross-organizational technical strategies, and establish best practices in your domain. In this role you will apply your management and leadership capabilities to successfully execute project plans, proactively identify and manage risks, resolve issues, elevate when appropriate, and drive projects to successful completion, while exceeding customer expectation. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Eligibility for UK Government Security Clearance is required for this role (). Key job responsibilities Leading and managing complex cloud migration, modernization and implementation projects. Leveraging comprehensive knowledge of AWS services, architectures, and best practices to guide technical decisions and strategic planning. Bridging business requirements with technical solutions, facilitating engineering discussions and ensuring alignment with customer business outcomes. Distilling customer needs into clear technical requirements and map them to business outcomes. Decomposing complex technical problems into actionable, deliverable solutions. Contributing to technical documentation and define documentation standards. A day in the life Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, 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. 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 Experience working as a Scrum Master or Product Owner across multiple cross-functional teams Experience in leading the delivery of IT projects with external customers or equivalent Experience with cloud computing technologies Experience in project management of technical programs Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience Preferred Qualifications Experience in program or engagement management, leading other project managers to deliver a program with multiple and concurrent projects Experience with the AWS platform, web services, software development, or related technologie Knowledge of AWS services Experience with AWS technologies Project Management Professional (PMP) and/or AWS Certified Solutions Architect - Associate Proven ability to establish technical credibility with engineering teams and senior technical decision-makers 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 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. Company AWS EMEA SARL (UK Branch) Job ID: A
About Evinova Evinova enables global life sciences to accelerate better health outcomes through innovative digital health solutions for clinical research. Role Overview Evinova is seeking an entrepreneurial, AI-fluent Product Director to take ownership of a core product area, building it from the ground up with AI at its foundation. This is a founding product leadership role: you will define the vision, strategy, and roadmap for an AI-native product that fundamentally changes how clinical development and clinical operations teams work designing for the end user first, enabling seamless, collaborative workflows, and driving connectivity across Evinova's modules so that the platform works as one. As Product Director, you will operate with significant autonomy and act as the general manager for your product area at Evinova. This is an individual contributor role: you will not have direct reports, but you will lead and inspire a matrixed, cross-functional team engineering, design, data science, and commercial through vision, influence, and clarity. You will identify whitespace, validate opportunities directly with end users and customers, ship V1 products, and iterate relentlessly embedding AI and machine learning into every layer of the product build, maintenance, and experience, and driving connectivity across Evinova's modules so workflows flow seamlessly for clinical development and clinical operations teams. This role requires a builder who thrives in ambiguity and brings the conviction to create something new within a world-class life sciences software organization. WHAT YOU'LL DO Build an AI-Native Product from Zero to One Define and own the product vision, strategy, and multi-year roadmap for an AI-native product, from first principles through scale. Develop a deep, first-hand understanding of our users, their problem spaces, and their day-to-day workflows pinpointing where the product can deliver step-function impact rather than incremental gains. Drive rapid hypothesis validation through prototyping and experimentation. Own the full product lifecycle end-to-end: from concept and design through development, launch, go-to-market, and post-launch iteration informed by usage data and customer feedback. Lead AI-Native Product Development Architect the product with AI and machine learning at its core for example: intelligent automation, contextual recommendations, predictive insights, and generative AI powered workflows that reduce effort for end users. Collaborate closely with data science and engineering teams to translate cutting-edge AI capabilities into practical, regulation-aware product features. Design for the end user first building intuitive, collaborative workflows that reduce burden and enable clinical development and clinical operations teams to work seamlessly together, with connectivity across Evinova's modules. Meet users where they are and guide them through their change management journey earning adoption by easing the transition to new, AI-enabled ways of working rather than forcing it. Maintain a sharp point of view on the evolving clinical trial and AI landscape proactively identifying opportunities to apply emerging capabilities to the challenges faced by clinical development and clinical operations teams. Drive Strategic Leadership Across Evinova Partner with a matrixed product organization to drive connectivity across Evinova's modules and inform the product roadmap. Partner with commercial to ensure the product does not over-fit to any one customer. Iterate relentlessly in pursuit of product-market fit. Serve as the strategic product leader across the organization, aligning engineering, design, data science, and commercial around a unified product vision. Communicate product strategy, progress, and trade-offs to Evinova's executive leadership and key enterprise customers. Define and own success metrics adoption, engagement, revenue contribution, clinical trial cycle-time reduction and drive data-informed prioritization. Operate with Entrepreneurial Ownership Treat your product area as your own business own the P&L mindset, make resource trade-offs, and drive measurable commercial outcomes. Navigate the tension between speed-to-market and regulatory compliance (GxP, 21 CFR Part 11, GDPR, HIPAA). Cultivate strategic partnerships with data providers and standards bodies (CDISC, HL7 FHIR) to accelerate Evinova's product capabilities. Champion a culture of experimentation, intellectual honesty, and continuous learning within your product area and across the broader Evinova team. WHAT YOU BRING Required Experience 8 years of product management experience, with at least 3 years in a director-level or senior product leadership capacity owning a product area end-to-end. Domain experience in clinical trials or life sciences. You bring a deep understanding of the clinical development and clinical operations personas, know the clinical ecosystem (EDC, CDMS, CTMS, eTMF), and can engage credibly with clinical operations leaders, medical directors, biostatisticians, data managers, and regulatory professionals. Demonstrated entrepreneurial track record: you have taken at least one product from zero to one as a founder, early-stage PM, or intrapreneur within a larger organization. You can point to products you conceived, shipped, and scaled. Deep, hands-on experience building AI/ML-powered products. You understand model development lifecycles, training data strategies, prompt engineering, evaluation frameworks, and the unique UX challenges of AI-driven features. AI fluency is non-negotiable for this role. Proven ability to operate in enterprise B2B SaaS environments, including navigating complex stakeholder landscapes, long sales cycles, and platform-level product decisions. Strong technical acumen: comfortable partnering directly with engineers and data scientists, reviewing technical specifications, and contributing to architectural trade-off decisions. AI Fluency Expectations You use AI tools daily in your own workflow for research, analysis, writing, prototyping, and decision-making and can articulate how AI is transforming product development practices. You can evaluate AI/ML model outputs, reason about precision/recall trade-offs, and make informed product decisions around model thresholds, confidence scoring, and human-in-the-loop design patterns. You maintain a current and informed perspective on the AI landscape foundation models, agentic AI, retrieval-augmented generation, fine-tuning and have a point of view on how these capabilities apply to regulated industries like clinical research. Preferred Qualifications Experience as a founder or co-founder of a technology company, or as the first product hire at an early-stage start-up. Working knowledge of clinical trial data standards (CDISC SDTM/ADaM, CDASH) and regulatory submission workflows. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. Date Posted 26-ago-2026 Closing Date 09-sept-2026 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
Sep 25, 2026
Full time
About Evinova Evinova enables global life sciences to accelerate better health outcomes through innovative digital health solutions for clinical research. Role Overview Evinova is seeking an entrepreneurial, AI-fluent Product Director to take ownership of a core product area, building it from the ground up with AI at its foundation. This is a founding product leadership role: you will define the vision, strategy, and roadmap for an AI-native product that fundamentally changes how clinical development and clinical operations teams work designing for the end user first, enabling seamless, collaborative workflows, and driving connectivity across Evinova's modules so that the platform works as one. As Product Director, you will operate with significant autonomy and act as the general manager for your product area at Evinova. This is an individual contributor role: you will not have direct reports, but you will lead and inspire a matrixed, cross-functional team engineering, design, data science, and commercial through vision, influence, and clarity. You will identify whitespace, validate opportunities directly with end users and customers, ship V1 products, and iterate relentlessly embedding AI and machine learning into every layer of the product build, maintenance, and experience, and driving connectivity across Evinova's modules so workflows flow seamlessly for clinical development and clinical operations teams. This role requires a builder who thrives in ambiguity and brings the conviction to create something new within a world-class life sciences software organization. WHAT YOU'LL DO Build an AI-Native Product from Zero to One Define and own the product vision, strategy, and multi-year roadmap for an AI-native product, from first principles through scale. Develop a deep, first-hand understanding of our users, their problem spaces, and their day-to-day workflows pinpointing where the product can deliver step-function impact rather than incremental gains. Drive rapid hypothesis validation through prototyping and experimentation. Own the full product lifecycle end-to-end: from concept and design through development, launch, go-to-market, and post-launch iteration informed by usage data and customer feedback. Lead AI-Native Product Development Architect the product with AI and machine learning at its core for example: intelligent automation, contextual recommendations, predictive insights, and generative AI powered workflows that reduce effort for end users. Collaborate closely with data science and engineering teams to translate cutting-edge AI capabilities into practical, regulation-aware product features. Design for the end user first building intuitive, collaborative workflows that reduce burden and enable clinical development and clinical operations teams to work seamlessly together, with connectivity across Evinova's modules. Meet users where they are and guide them through their change management journey earning adoption by easing the transition to new, AI-enabled ways of working rather than forcing it. Maintain a sharp point of view on the evolving clinical trial and AI landscape proactively identifying opportunities to apply emerging capabilities to the challenges faced by clinical development and clinical operations teams. Drive Strategic Leadership Across Evinova Partner with a matrixed product organization to drive connectivity across Evinova's modules and inform the product roadmap. Partner with commercial to ensure the product does not over-fit to any one customer. Iterate relentlessly in pursuit of product-market fit. Serve as the strategic product leader across the organization, aligning engineering, design, data science, and commercial around a unified product vision. Communicate product strategy, progress, and trade-offs to Evinova's executive leadership and key enterprise customers. Define and own success metrics adoption, engagement, revenue contribution, clinical trial cycle-time reduction and drive data-informed prioritization. Operate with Entrepreneurial Ownership Treat your product area as your own business own the P&L mindset, make resource trade-offs, and drive measurable commercial outcomes. Navigate the tension between speed-to-market and regulatory compliance (GxP, 21 CFR Part 11, GDPR, HIPAA). Cultivate strategic partnerships with data providers and standards bodies (CDISC, HL7 FHIR) to accelerate Evinova's product capabilities. Champion a culture of experimentation, intellectual honesty, and continuous learning within your product area and across the broader Evinova team. WHAT YOU BRING Required Experience 8 years of product management experience, with at least 3 years in a director-level or senior product leadership capacity owning a product area end-to-end. Domain experience in clinical trials or life sciences. You bring a deep understanding of the clinical development and clinical operations personas, know the clinical ecosystem (EDC, CDMS, CTMS, eTMF), and can engage credibly with clinical operations leaders, medical directors, biostatisticians, data managers, and regulatory professionals. Demonstrated entrepreneurial track record: you have taken at least one product from zero to one as a founder, early-stage PM, or intrapreneur within a larger organization. You can point to products you conceived, shipped, and scaled. Deep, hands-on experience building AI/ML-powered products. You understand model development lifecycles, training data strategies, prompt engineering, evaluation frameworks, and the unique UX challenges of AI-driven features. AI fluency is non-negotiable for this role. Proven ability to operate in enterprise B2B SaaS environments, including navigating complex stakeholder landscapes, long sales cycles, and platform-level product decisions. Strong technical acumen: comfortable partnering directly with engineers and data scientists, reviewing technical specifications, and contributing to architectural trade-off decisions. AI Fluency Expectations You use AI tools daily in your own workflow for research, analysis, writing, prototyping, and decision-making and can articulate how AI is transforming product development practices. You can evaluate AI/ML model outputs, reason about precision/recall trade-offs, and make informed product decisions around model thresholds, confidence scoring, and human-in-the-loop design patterns. You maintain a current and informed perspective on the AI landscape foundation models, agentic AI, retrieval-augmented generation, fine-tuning and have a point of view on how these capabilities apply to regulated industries like clinical research. Preferred Qualifications Experience as a founder or co-founder of a technology company, or as the first product hire at an early-stage start-up. Working knowledge of clinical trial data standards (CDISC SDTM/ADaM, CDASH) and regulatory submission workflows. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. Date Posted 26-ago-2026 Closing Date 09-sept-2026 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Back End About this role Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex business problems and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful solutions that meet real customer needs. What You'll Do Own and drive the technical strategy for a significant business outcome or technology domain, spanning multiple teams and influencing the overall technical direction Lead and coordinate the efforts of multiple teams, ensuring their collective work aligns with broader business objectives and technology strategy Proactively identify emerging patterns, define and evangelise best practices, and establish reusable frameworks that enhance engineering productivity Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, and architects Represent Capital One in external technical forums, contributing to vendor/industry discussions Drive service quality standards and practices for your domain, guiding complex incident resolution Develop and advocate for strategies to proactively manage technical debt across multiple teams Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Java Deep expertise in system design and distributed architectures Track record of leading technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Proven experience setting a multi-team technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving engineering standards and best practices across organisations Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate technical concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
Sep 25, 2026
Full time
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Back End About this role Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex business problems and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful solutions that meet real customer needs. What You'll Do Own and drive the technical strategy for a significant business outcome or technology domain, spanning multiple teams and influencing the overall technical direction Lead and coordinate the efforts of multiple teams, ensuring their collective work aligns with broader business objectives and technology strategy Proactively identify emerging patterns, define and evangelise best practices, and establish reusable frameworks that enhance engineering productivity Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, and architects Represent Capital One in external technical forums, contributing to vendor/industry discussions Drive service quality standards and practices for your domain, guiding complex incident resolution Develop and advocate for strategies to proactively manage technical debt across multiple teams Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Java Deep expertise in system design and distributed architectures Track record of leading technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Proven experience setting a multi-team technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving engineering standards and best practices across organisations Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate technical concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
Permanent Dexory is building its first company-wide data capability, and this is its founding hire. You will build and own the data foundation that brings our various sources together, model them into clean and trustworthy tables, and define the metrics and business concepts so that how we are doing means the same thing to everyone, and so that AI can query our data safely. The first and most important outcome is a reliable, queryable view of customer and site performance against contracted SLAs and KPIs. From that same foundation, you will go on to serve the rest of the business: deployment and billing readiness, finance, product usage and operational efficiency. This is a senior, hands on role for someone who is data- and AI automation savvy, can make the big architectural calls and still ship, and can navigate the genuinely hard part: getting the business to agree on what a site, a customer, or a deployment actually is. You will be a team of one to begin with, setting the standards, proving value quickly with early wins, and shaping the function and team we build around you, with a clear path to lead it. This will involve a minimum of 2 days a week onsite at our Wallingford facility. Responsibilities: Build the data foundation, bringing operational, product, commercial and contractual data into a single queryable layer, and decide the architecture and system of record for our core concepts: customer, site, deployment and contract Embed Dexory's data security requirements into all foundational architecture and engineering work, ensuring security is a core design principle rather than an afterthought. Use AI automation to join the dots between systems and to make data genuinely self-serve: connectors and pipelines where needed, and a trustworthy natural-language and query layer so teams get correct, context aware answers instead of raw data guesses. Partner with the engineering teams, platform, autonomy and perception, to have them expose source data cleanly, rather than building every pipeline yourself. Your focus is on what the data means and how it fits together. Make pragmatic build-versus-buy decisions, set the engineering standards for the future team, and deliver early, visible wins within the first few months. Help define, recruit and mentor the team as the function grows. Required Qualifications: Significant experience as a senior data or analytics engineer, comfortable owning architecture and making source of truth decisions independently. Strong hands on data skills: fluent SQL, solid data modelling, and a modern data stack. We are building on Databricks, so experience there or with an equivalent lakehouse or warehouse, plus a transformation framework such as dbt and strong Python, is what we are looking for. Demonstrated fluency with AI automation tooling: using LLMs and agents to integrate systems, accelerate delivery and expose data for natural language querying, with the judgement to control context so the answers stay trustworthy. We want evidence of what you have built, not familiarity with the buzzwords. A proven track record in integrating multiple operational and commercial or SaaS systems. For us, that landscape includes Databricks, HubSpot, product analytics via Pendo, fleet and robot telemetry via Grafana, deployment tooling and contractual data. The communication and facilitation skills to align non technical stakeholders on shared definitions and ownership, and the patience to navigate genuinely contentious questions about what our core concepts mean. This matters as much as the technical skill. Experience with data quality and, ideally, deduplication or entity resolution concepts, so information stays consistent everywhere it is used. A self starter who thrives as the first or sole engineer in a fast moving scale up and wants to grow into leading the function. Starting from the interview process and continuing into your career with us, you will be working by our four Operating Principles: Performance: High standards, outstanding results, Commitment: All in, every time One team: One mission, shared success Joining our team and company isn't just about expertise; it's about embracing uncertainty with ambition. We're crafting world changing solutions, fueled by a passion to redefine what's possible. We will look for you to help create and shape the future of logistics solutions through our products, our culture and our shared vision. You will also receive: Private healthcare via Bupa with 24/7 medical helpline Life insurance Income protection Pension: 4+% employee with option to opt into salary exchange, 5% employer Employee Assistance Programme - mental wellbeing, financial and legal advice/support 25 holidays per year Full meals onsite in Wallingford Fun team events on and offsite, snacks of all kinds in the office AAP/EEO Statement Dexory provides equal employment opportunities to all employees and applicants for employment. It prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, or any other characteristic protected by 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
Sep 25, 2026
Full time
Permanent Dexory is building its first company-wide data capability, and this is its founding hire. You will build and own the data foundation that brings our various sources together, model them into clean and trustworthy tables, and define the metrics and business concepts so that how we are doing means the same thing to everyone, and so that AI can query our data safely. The first and most important outcome is a reliable, queryable view of customer and site performance against contracted SLAs and KPIs. From that same foundation, you will go on to serve the rest of the business: deployment and billing readiness, finance, product usage and operational efficiency. This is a senior, hands on role for someone who is data- and AI automation savvy, can make the big architectural calls and still ship, and can navigate the genuinely hard part: getting the business to agree on what a site, a customer, or a deployment actually is. You will be a team of one to begin with, setting the standards, proving value quickly with early wins, and shaping the function and team we build around you, with a clear path to lead it. This will involve a minimum of 2 days a week onsite at our Wallingford facility. Responsibilities: Build the data foundation, bringing operational, product, commercial and contractual data into a single queryable layer, and decide the architecture and system of record for our core concepts: customer, site, deployment and contract Embed Dexory's data security requirements into all foundational architecture and engineering work, ensuring security is a core design principle rather than an afterthought. Use AI automation to join the dots between systems and to make data genuinely self-serve: connectors and pipelines where needed, and a trustworthy natural-language and query layer so teams get correct, context aware answers instead of raw data guesses. Partner with the engineering teams, platform, autonomy and perception, to have them expose source data cleanly, rather than building every pipeline yourself. Your focus is on what the data means and how it fits together. Make pragmatic build-versus-buy decisions, set the engineering standards for the future team, and deliver early, visible wins within the first few months. Help define, recruit and mentor the team as the function grows. Required Qualifications: Significant experience as a senior data or analytics engineer, comfortable owning architecture and making source of truth decisions independently. Strong hands on data skills: fluent SQL, solid data modelling, and a modern data stack. We are building on Databricks, so experience there or with an equivalent lakehouse or warehouse, plus a transformation framework such as dbt and strong Python, is what we are looking for. Demonstrated fluency with AI automation tooling: using LLMs and agents to integrate systems, accelerate delivery and expose data for natural language querying, with the judgement to control context so the answers stay trustworthy. We want evidence of what you have built, not familiarity with the buzzwords. A proven track record in integrating multiple operational and commercial or SaaS systems. For us, that landscape includes Databricks, HubSpot, product analytics via Pendo, fleet and robot telemetry via Grafana, deployment tooling and contractual data. The communication and facilitation skills to align non technical stakeholders on shared definitions and ownership, and the patience to navigate genuinely contentious questions about what our core concepts mean. This matters as much as the technical skill. Experience with data quality and, ideally, deduplication or entity resolution concepts, so information stays consistent everywhere it is used. A self starter who thrives as the first or sole engineer in a fast moving scale up and wants to grow into leading the function. Starting from the interview process and continuing into your career with us, you will be working by our four Operating Principles: Performance: High standards, outstanding results, Commitment: All in, every time One team: One mission, shared success Joining our team and company isn't just about expertise; it's about embracing uncertainty with ambition. We're crafting world changing solutions, fueled by a passion to redefine what's possible. We will look for you to help create and shape the future of logistics solutions through our products, our culture and our shared vision. You will also receive: Private healthcare via Bupa with 24/7 medical helpline Life insurance Income protection Pension: 4+% employee with option to opt into salary exchange, 5% employer Employee Assistance Programme - mental wellbeing, financial and legal advice/support 25 holidays per year Full meals onsite in Wallingford Fun team events on and offsite, snacks of all kinds in the office AAP/EEO Statement Dexory provides equal employment opportunities to all employees and applicants for employment. It prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, or any other characteristic protected by 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
MAKE STRATEGY A REALITY ACCELERATE YOUR GROWTH CHOOSE YOUR PATH As the world's leading change and transformation consultancy, we're helping businesses move from strategy to reality by taking a pragmatic and practical approach to build solutions that last. We're seeking a Director in London in Data & Analytics to help us take vision to value and create lasting impact. YOU WILL: Scoping, selling, architecting and delivering a wide variety of Data & Analytics solutions for our clients. Fostering a high-quality human experience for our team through effective coaching, mentoring, development of career paths, and modelling superior management and leadership skills. Continue to build the team's capabilities through development and management of training plans, hands-on skill development, paired project work and project reviews. Show a bias to action through high-quality work delivered on time and on budget to our clients. Collaborate creatively with other North Highland capabilities (such as Experience Design or Supply Chain) to create unique cross-functional value-add solutions to clients. Collaborate creatively with our client account teams to grow existing and build new client relationships with some of the most exciting brands in the world. Shape the future by being part of the Data & Analytics global leadership team. Be a thought leader by contributing to blog postings, white papers, pod casts. Be part of the global thought leadership team on agile, digital transformation, cloud analytics, and modern data & analytics concepts. Significant knowledge and experience with data strategy execution, including: Data strategy roadmap development. Data governance strategy and execution. Data team capability design. Data literacy program establishment and execution. Significant knowledge and experience with the modern analytics landscape, including: Cloud platform solutions (data movement, storage, visualisation and analytics) available in top public cloud providers, such as AWS, GCP or Azure. Advanced analytics, predictive modelling, machine learning, cognitive tools and artificial intelligence. Structured and unstructured data management systems and models, including relational, columnar store, Hadoop and NoSQL platforms. Modern data visualisation platforms such as Tableau, Power BI, Qlik, MicroStrategy and others. IDEALLY WE'D LIKE: Experience in data and analytics for a consulting agency or a mix of private firm/consulting firm experience. The design, development and deployment of complex data and/or analytical solutions. Consulting with clients to identify, design solutions for, and create analytical insights into critical problems and then driving them into operation. The value and deployment of analytics to support Customer Experience strategy and programs or similar experience in other forms of customer analytics. Leading teams and delivering projects profitably. Demonstrated success at developing a high-quality human experience through coaching, leadership and career development of data and analytics teams. A well-articulated sense of purpose and vision for your life and career. A commitment to a lifetime of learning and growth. An undergraduate degree from an accredited college/university. Total Rewards associated with this position include a comprehensive benefits package designed to support your well-being and financial security. Unique perks: flexible time off a private medical plan a health cash plan a workplace savings scheme (including ISAs and GIAs) enhanced parental leave Applicants must be authorised to work in the United Kingdom, without the need for visa sponsorship by North Highland. Work visa sponsorship will not be provided, either now or in the future, for this position. North Highland is an equal opportunity employer, and we adhere to all applicable laws and regulations to ensure a fair and equitable workplace. All qualified applicants will receive fair and impartial consideration without regard to race, colour, sex, gender identity, religion, national origin, age, sexual orientation, disability, veteran status, or any other characteristic protected by law. We handle all information in accordance local privacy standards and maintain strict confidentiality.
Sep 24, 2026
Full time
MAKE STRATEGY A REALITY ACCELERATE YOUR GROWTH CHOOSE YOUR PATH As the world's leading change and transformation consultancy, we're helping businesses move from strategy to reality by taking a pragmatic and practical approach to build solutions that last. We're seeking a Director in London in Data & Analytics to help us take vision to value and create lasting impact. YOU WILL: Scoping, selling, architecting and delivering a wide variety of Data & Analytics solutions for our clients. Fostering a high-quality human experience for our team through effective coaching, mentoring, development of career paths, and modelling superior management and leadership skills. Continue to build the team's capabilities through development and management of training plans, hands-on skill development, paired project work and project reviews. Show a bias to action through high-quality work delivered on time and on budget to our clients. Collaborate creatively with other North Highland capabilities (such as Experience Design or Supply Chain) to create unique cross-functional value-add solutions to clients. Collaborate creatively with our client account teams to grow existing and build new client relationships with some of the most exciting brands in the world. Shape the future by being part of the Data & Analytics global leadership team. Be a thought leader by contributing to blog postings, white papers, pod casts. Be part of the global thought leadership team on agile, digital transformation, cloud analytics, and modern data & analytics concepts. Significant knowledge and experience with data strategy execution, including: Data strategy roadmap development. Data governance strategy and execution. Data team capability design. Data literacy program establishment and execution. Significant knowledge and experience with the modern analytics landscape, including: Cloud platform solutions (data movement, storage, visualisation and analytics) available in top public cloud providers, such as AWS, GCP or Azure. Advanced analytics, predictive modelling, machine learning, cognitive tools and artificial intelligence. Structured and unstructured data management systems and models, including relational, columnar store, Hadoop and NoSQL platforms. Modern data visualisation platforms such as Tableau, Power BI, Qlik, MicroStrategy and others. IDEALLY WE'D LIKE: Experience in data and analytics for a consulting agency or a mix of private firm/consulting firm experience. The design, development and deployment of complex data and/or analytical solutions. Consulting with clients to identify, design solutions for, and create analytical insights into critical problems and then driving them into operation. The value and deployment of analytics to support Customer Experience strategy and programs or similar experience in other forms of customer analytics. Leading teams and delivering projects profitably. Demonstrated success at developing a high-quality human experience through coaching, leadership and career development of data and analytics teams. A well-articulated sense of purpose and vision for your life and career. A commitment to a lifetime of learning and growth. An undergraduate degree from an accredited college/university. Total Rewards associated with this position include a comprehensive benefits package designed to support your well-being and financial security. Unique perks: flexible time off a private medical plan a health cash plan a workplace savings scheme (including ISAs and GIAs) enhanced parental leave Applicants must be authorised to work in the United Kingdom, without the need for visa sponsorship by North Highland. Work visa sponsorship will not be provided, either now or in the future, for this position. North Highland is an equal opportunity employer, and we adhere to all applicable laws and regulations to ensure a fair and equitable workplace. All qualified applicants will receive fair and impartial consideration without regard to race, colour, sex, gender identity, religion, national origin, age, sexual orientation, disability, veteran status, or any other characteristic protected by law. We handle all information in accordance local privacy standards and maintain strict confidentiality.
About Unity Advisory Unity Advisory is a modern advisory business built for today's CFO. It combines deep expertise with an AI-native operating model designed to deliver better evidence, faster execution and stronger client outcomes. Through direct access to the expertise needed to solve complex challenges and a pace of delivery that enables organisations to seize opportunities, Unity delivers advisory as it should be, through a model that is free from audit conflict. The Role As a client-‑facing AI Architect, you'll design and deliver next-‑generation AI architectures that help clients harness emerging technologies at scale - working closely with engineers and consultants to turn ambitious ideas into enterprise-‑ready systems. Key Responsibilities Design scalable AI platforms, pipelines, and frameworks aligned with enterprise goals Define target-‑state AI architectures across applications, data, and infrastructure Evaluate emerging AI technologies (LLMs, multimodal, agentic AI) for adoption Ensure AI architectures comply with governance, security, and regulatory frameworks Collaborate with engineers and consultants to deliver enterprise-‑ready solutions Support proof-‑of-‑concept projects and guide them into production systems Develop integration strategies for AI platforms and enterprise applications Advise leadership on AI architecture best practices and risks Optimise AI environments for performance, scalability, and cost-‑efficiency Maintain thought leadership by tracking advancements in AI architectures Qualifications 7+ years in enterprise architecture or AI/ML engineering Experience with cloud environments (AWS, Azure, GCP) Knowledge of AI governance and MLOps tools Work Environment A truly hybrid and flexible working environment, with the chance to shape how AI-‑driven advisory is delivered - working on cutting-‑edge projects and encouraged to deploy the latest analytical tools and approaches. Additional Information At Unity Advisory, we are committed to providing an inclusive and accessible recruitment process. In line with the Equality Act 2010, we will accommodate any suitable candidate requiring assistance to attend or conduct an interview. Please let us know if you need any adjustments when scheduling your interview or in your cover letter.
Sep 24, 2026
Full time
About Unity Advisory Unity Advisory is a modern advisory business built for today's CFO. It combines deep expertise with an AI-native operating model designed to deliver better evidence, faster execution and stronger client outcomes. Through direct access to the expertise needed to solve complex challenges and a pace of delivery that enables organisations to seize opportunities, Unity delivers advisory as it should be, through a model that is free from audit conflict. The Role As a client-‑facing AI Architect, you'll design and deliver next-‑generation AI architectures that help clients harness emerging technologies at scale - working closely with engineers and consultants to turn ambitious ideas into enterprise-‑ready systems. Key Responsibilities Design scalable AI platforms, pipelines, and frameworks aligned with enterprise goals Define target-‑state AI architectures across applications, data, and infrastructure Evaluate emerging AI technologies (LLMs, multimodal, agentic AI) for adoption Ensure AI architectures comply with governance, security, and regulatory frameworks Collaborate with engineers and consultants to deliver enterprise-‑ready solutions Support proof-‑of-‑concept projects and guide them into production systems Develop integration strategies for AI platforms and enterprise applications Advise leadership on AI architecture best practices and risks Optimise AI environments for performance, scalability, and cost-‑efficiency Maintain thought leadership by tracking advancements in AI architectures Qualifications 7+ years in enterprise architecture or AI/ML engineering Experience with cloud environments (AWS, Azure, GCP) Knowledge of AI governance and MLOps tools Work Environment A truly hybrid and flexible working environment, with the chance to shape how AI-‑driven advisory is delivered - working on cutting-‑edge projects and encouraged to deploy the latest analytical tools and approaches. Additional Information At Unity Advisory, we are committed to providing an inclusive and accessible recruitment process. In line with the Equality Act 2010, we will accommodate any suitable candidate requiring assistance to attend or conduct an interview. Please let us know if you need any adjustments when scheduling your interview or in your cover letter.
About Arondite Arondite enables organisations to wield autonomy, data and AI at scale. We equip operators with the foundational software to orchestrate their mix of platforms and capabilities, and then take mission-critical decisions faster than their adversaries. We exist to ensure the UK and its allies out-think, out-pace and out-adapt those who seek to threaten our values and way of life. Our technology is designed for deployment in the world's most austere environments, and is relied upon by the world's most demanding operators. We deploy alongside them, bringing our technical expertise wherever it is needed. You will join Arondite at a pivotal moment in the company's journey. We are ambitious, building for the long-term and backed by globally renowned investors including Index Ventures (Anthropic, Wiz, Figma, Revolut). Our company is being built by exceptional engineers - people who find high-impact and technically challenging work engaging and exciting, and who consistently deliver outsized impact. You will collaborate with other brilliant minds to solve some of the world's hardest and most important problems. You will have ownership and autonomy from Day One. There is no corporate ladder at Arondite. From your first day, you will directly influence the design, functionality, and direction of Arondite's product offering. We hire the best people and give them extremely high levels of autonomy; the sky is the limit for an individual with the right ambition. If you are motivated by our mission and if you want to be part of a growing team of outstanding people, then we want to hear from you. About the role As Lead DevSecOps Engineer at Arondite you will be driving platform engineering and developer experience. You will take full ownership of our internal development ecosystem, evolving it into a secure, robust, self-service platform that abstracts infrastructure complexity. You will design and maintain the "Golden Path": the standardized, automated route from local code to a production-ready state. You will need to be versatile and view infrastructure as a product, with our internal developers as your primary customers. Being a lead at an early stage company will mean building a team to continue delivering and improving the capabilities as we scale. You will need to engage with stakeholders to build a DevSecOps roadmap, and you will set the technical direction in order to deliver the required outcomes. You will also support and mentor less experienced engineers by reviewing their outputs and giving them feedback. Your responsibilities will include: Taking end-to-end ownership of the internal developer platform, identifying bottlenecks in the secure software development lifecycle and building automated solutions to resolve them. Architecting and evolving standardized deployment patterns that bake in security, compliance, and observability, allowing product teams to focus on delivering customer functionality. Ensuring high availability, performance, and seamless integration of our self-hosted engineering suite (GitLab) with the wider ecosystem. Managing infrastructure-as-code practices and tooling to deliver version-controlled, auditable, and reproducible infrastructure Driving the adoption of modern deployment methodologies (such as GitOps) to ensure declarative, reproducible, and audited state management across all environments. Owning automated security tooling (e.g. SAST, DAST, dependency scanning, container scanning, and secrets detection) to deliver security audit evidence for the platform Arondite aims to bring together individuals from diverse backgrounds and with different perspectives. We therefore don't expect people to have experience across every area of the requirements. Please apply even if you only partially fulfil the following lists. You should have: 3+ years of experience building or scaling internal developer platforms or sophisticated CI/CD ecosystems Deep understanding of cloud-native primitives (Compute, Networking, Storage) and the ability to implement them across different providers or hybrid environments Proven ability to manage container orchestration at scale, focusing on abstracting complexity for end-users rather than just "managing clusters." Expert-level proficiency in declarative configuration management and modular Infrastructure as Code design (e.g., Terraform, OpenTofu, or Pulumi) Strong competency in scripting or systems programming (Python, Go, or Bash) to glue disparate systems into a unified platform Evidence of delivering security compliance (e.g. UK government 'Secure by Design') as a key component of development tooling Ideally, you would also have: This is not an additional list of requirements; this reflects the tech stack currently used at Arondite; any experience in these areas is a bonus Experience maintaining and scaling critical engineering tools (e.g., GitLab, Artifactory, or SonarQube) at the enterprise level, including backup/restore and high-availability strategies Proven experience migrating workloads between platforms (e.g., EC2 to EKS, or cross-cloud) with a focus on data integrity and minimal downtime Ability to implement standardized telemetry pipelines (e.g., OpenTelemetry, Prometheus, or ELK) that provide developers with out-of-the-box visibility into their services Familiarity with automated policy enforcement and compliance-as-code (e.g., OPA, Kyverno, or AWS Config) to maintain compliance without manual intervention Experience implementing automated cost-attribution and rightsizing logic to ensure the platform remains economically sustainable as it scales Knowledge of service mesh architectures such as Istio or Linkerd, for traffic management and mTLS Experience with deploying software to classified environments and/or meeting UK Government security requirements Right to Work We require that all candidates have an existing Right to Work in the UK at the time of application. Security clearance We believe in working closely with defence customers. As a result, this role will require the individual to hold a clearance or be willing to undergo UK security vetting to Security Check (SC) or above. This normally requires having continuous residency in the UK for at least 5 years. Office vs Hybrid working We are focused on building a positive, collaborative engineering-driven culture. We therefore believe in making the office a friendly, comfortable and fun place to be, and we try to work from the office where possible. Of course, there are times when it makes sense for you to work from home and that's OK. You may also need to travel to visit customers, depending on your role. But in general you should only apply to join Arondite if you're excited to come into the office and work in person by default. Application process Generally, our interview process is comprised of the following stages: CV submission with initial questions Introductory Teams call (30-45 mins) In-person technical interview (1-2 hours) Final interview with one of Arondite's Founders (30 mins) Highly competitive base salary Generous equity in EMI share options in a well-funded and growing startup 7% employer pension contribution Free meals in the office every day Private health and dental insurance, with opt-in cover for dependents Cycle to work scheme Relocation support Access to any resources, equipment and training that you need to do your job in a world-class way
Sep 24, 2026
Full time
About Arondite Arondite enables organisations to wield autonomy, data and AI at scale. We equip operators with the foundational software to orchestrate their mix of platforms and capabilities, and then take mission-critical decisions faster than their adversaries. We exist to ensure the UK and its allies out-think, out-pace and out-adapt those who seek to threaten our values and way of life. Our technology is designed for deployment in the world's most austere environments, and is relied upon by the world's most demanding operators. We deploy alongside them, bringing our technical expertise wherever it is needed. You will join Arondite at a pivotal moment in the company's journey. We are ambitious, building for the long-term and backed by globally renowned investors including Index Ventures (Anthropic, Wiz, Figma, Revolut). Our company is being built by exceptional engineers - people who find high-impact and technically challenging work engaging and exciting, and who consistently deliver outsized impact. You will collaborate with other brilliant minds to solve some of the world's hardest and most important problems. You will have ownership and autonomy from Day One. There is no corporate ladder at Arondite. From your first day, you will directly influence the design, functionality, and direction of Arondite's product offering. We hire the best people and give them extremely high levels of autonomy; the sky is the limit for an individual with the right ambition. If you are motivated by our mission and if you want to be part of a growing team of outstanding people, then we want to hear from you. About the role As Lead DevSecOps Engineer at Arondite you will be driving platform engineering and developer experience. You will take full ownership of our internal development ecosystem, evolving it into a secure, robust, self-service platform that abstracts infrastructure complexity. You will design and maintain the "Golden Path": the standardized, automated route from local code to a production-ready state. You will need to be versatile and view infrastructure as a product, with our internal developers as your primary customers. Being a lead at an early stage company will mean building a team to continue delivering and improving the capabilities as we scale. You will need to engage with stakeholders to build a DevSecOps roadmap, and you will set the technical direction in order to deliver the required outcomes. You will also support and mentor less experienced engineers by reviewing their outputs and giving them feedback. Your responsibilities will include: Taking end-to-end ownership of the internal developer platform, identifying bottlenecks in the secure software development lifecycle and building automated solutions to resolve them. Architecting and evolving standardized deployment patterns that bake in security, compliance, and observability, allowing product teams to focus on delivering customer functionality. Ensuring high availability, performance, and seamless integration of our self-hosted engineering suite (GitLab) with the wider ecosystem. Managing infrastructure-as-code practices and tooling to deliver version-controlled, auditable, and reproducible infrastructure Driving the adoption of modern deployment methodologies (such as GitOps) to ensure declarative, reproducible, and audited state management across all environments. Owning automated security tooling (e.g. SAST, DAST, dependency scanning, container scanning, and secrets detection) to deliver security audit evidence for the platform Arondite aims to bring together individuals from diverse backgrounds and with different perspectives. We therefore don't expect people to have experience across every area of the requirements. Please apply even if you only partially fulfil the following lists. You should have: 3+ years of experience building or scaling internal developer platforms or sophisticated CI/CD ecosystems Deep understanding of cloud-native primitives (Compute, Networking, Storage) and the ability to implement them across different providers or hybrid environments Proven ability to manage container orchestration at scale, focusing on abstracting complexity for end-users rather than just "managing clusters." Expert-level proficiency in declarative configuration management and modular Infrastructure as Code design (e.g., Terraform, OpenTofu, or Pulumi) Strong competency in scripting or systems programming (Python, Go, or Bash) to glue disparate systems into a unified platform Evidence of delivering security compliance (e.g. UK government 'Secure by Design') as a key component of development tooling Ideally, you would also have: This is not an additional list of requirements; this reflects the tech stack currently used at Arondite; any experience in these areas is a bonus Experience maintaining and scaling critical engineering tools (e.g., GitLab, Artifactory, or SonarQube) at the enterprise level, including backup/restore and high-availability strategies Proven experience migrating workloads between platforms (e.g., EC2 to EKS, or cross-cloud) with a focus on data integrity and minimal downtime Ability to implement standardized telemetry pipelines (e.g., OpenTelemetry, Prometheus, or ELK) that provide developers with out-of-the-box visibility into their services Familiarity with automated policy enforcement and compliance-as-code (e.g., OPA, Kyverno, or AWS Config) to maintain compliance without manual intervention Experience implementing automated cost-attribution and rightsizing logic to ensure the platform remains economically sustainable as it scales Knowledge of service mesh architectures such as Istio or Linkerd, for traffic management and mTLS Experience with deploying software to classified environments and/or meeting UK Government security requirements Right to Work We require that all candidates have an existing Right to Work in the UK at the time of application. Security clearance We believe in working closely with defence customers. As a result, this role will require the individual to hold a clearance or be willing to undergo UK security vetting to Security Check (SC) or above. This normally requires having continuous residency in the UK for at least 5 years. Office vs Hybrid working We are focused on building a positive, collaborative engineering-driven culture. We therefore believe in making the office a friendly, comfortable and fun place to be, and we try to work from the office where possible. Of course, there are times when it makes sense for you to work from home and that's OK. You may also need to travel to visit customers, depending on your role. But in general you should only apply to join Arondite if you're excited to come into the office and work in person by default. Application process Generally, our interview process is comprised of the following stages: CV submission with initial questions Introductory Teams call (30-45 mins) In-person technical interview (1-2 hours) Final interview with one of Arondite's Founders (30 mins) Highly competitive base salary Generous equity in EMI share options in a well-funded and growing startup 7% employer pension contribution Free meals in the office every day Private health and dental insurance, with opt-in cover for dependents Cycle to work scheme Relocation support Access to any resources, equipment and training that you need to do your job in a world-class way
