AWS API Engineer / Data Architect

You will be part of the Data Platforms team within the Insights and Data Global Practice, which has seen strong growth and continued success across a variety of projects and sectors. Data Platforms is home to API Engineers, Data Engineers, Platform Engineers, Solutions Architects and Business Analysts focused on driving our customersdigital and data transformation using modern cloud platforms. We specialise in the latest frameworks, reference architectures and technologies across AWS, Azure and GCP, including API/microservices patterns and data platforms such as AWS-native analytics services and Snowflake.

As an AWS API Engineer / Data Architect at Capgemini, you will design and deliver secure, scalable API and microservices architectures across multiple client applications and services. You will define integration patterns and standards, shape data and document-store designs, and take ownership from solution design through build, deployment and production support, ensuring services are observable, reliable and cost-effective on AWS.

You will design and deliver secure, scalable, well-integrated APIs and microservices across multiple client applications and services, supporting system and data integration across distributed environments.

Security Clearance: To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance.

To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.

Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality.

Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.

The Focus of Your Role

You will be an integral part of teams delivering modern digital services on AWS, with primary responsibility for API and microservices architecture and system integration. You will design RESTful APIs and service boundaries, define integration standards, and collaborate with product, delivery and cybersecurity stakeholders to ensure secure access patterns, strong observability, and smooth deployments and cutovers. Where required, you will also contribute to data architecture decisions (e.g., PostgreSQL and document stores) to enable robust end-to-end solutions.

Key responsibilities (API & data architecture):

• Design and implement serverless and microservices-based API architectures on AWS (e.g., Lambda, API Gateway) aligned to product roadmaps.
• Define and apply RESTful API design patterns and integration standards; support API lifecycle management, documentation and versioning.
• Support system and data integration across distributed services, including event-driven patterns where appropriate.
• Assess and address technical debt, recommending pragmatic modernisation approaches.
• Support deployment planning, cutover activities and post-go-live stabilisation.
• Contribute to document store and data architecture design (e.g., PostgreSQL and document stores) and collaboration with data engineering teams.
• Collaborate with cybersecurity and delivery teams to ensure secure, observable solutions (logging, monitoring, audit)
• Integrate applications with identity providers and enforce secure access patterns (e.g., IAM, token-based authentication).

You will bring strong, hands-on experience delivering API and integration solutions within complex environments, with an understanding of regulatory obligations and the need for trusted, mission-critical services. You will be able to design secure, scalable and well-governed RESTful APIs and microservices on AWS, applying consistent standards for identity, access control, observability, auditability and operational resilience. You will be comfortable collaborating with stakeholders to translate outcomes into pragmatic architectures and delivery plans, and you will bring strong engineering discipline, documentation and teamwork skills to help teams deliver sustainable capabilities end-to-end.

Required skills & experience (API & architecture):

• Strong experience designing and building APIs and microservices architectures.
• Hands-on experience with AWS serverless technologies (e.g., AWS Lambda, Amazon API Gateway).
• Solid understanding of RESTful APIs, integration patterns and distributed systems; exposure to GraphQL is a plus.
• Experience working across the full delivery lifecycle, from design through deployment and production support.
• Ability to communicate architecture decisions clearly to technical and non-technical stakeholders.

• Minimum 5+ years of experience as an AWS API Engineer / Data Architect, designing and delivering APIs and microservices in production environments.
• Strong expertise in AWS services used for API and platform delivery (e.g., Amazon API Gateway, AWS Lambda, IAM, VPC, Route 53, ECR) and experience applying security and networking fundamentals.
• Experience with deployment and operations practices (CI/CD, release planning, cutover, post-go-live stabilisation) and observability tooling (e.g., CloudWatch and/or ELK, Prometheus, Grafana).
• Proficiency in at least one backend language (e.g., Python) with strong software engineering practices (Git, code review, unit testing, CI/CD) and an ability to troubleshoot production issues.
• A continuous learning mindset, ideally with progress toward AWS certification (e.g., AWS Certified Developer Associate or AWS Certified Solutions Architect Associate) or equivalent experience.
• Relevant certifications (desirable): AWS Certified Developer Associate, AWS Certified Solutions Architect Associate/Professional, and/or AWS Certified Security Specialty.

• Amazon Web Services (AWS): Lambda, API Gateway, Aurora RDS, EC2, Route 53, ECR, STS, VPC, S3.
• API, Integration & Security: RESTful APIs, Apollo GraphQL; AWS IAM, token-based authentication, external identity providers.
• Data & Messaging: PostgreSQL, Apache Kafka, document stores.
• Engineering & Operations: CI/CD pipelines; ELK stack; Prometheus, Grafana.

Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

If you are successfully offered this position, you will go through a series of pre-employment checks, including identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service)

What We’ll Offer You

You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.

You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more.

Why we’re different

At Capgemini, we help organisations across the world become more agile, more competitive, and more successful. Smart, tailored, often ground-breaking technical solutions to complex problems are the norm. But so, too, is a culture that’s as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too.

Capgemini is proud to represent nearly 130 nationalities and its cultural diversity. Our holistic definition of diversity extends beyond gender, gender identity, sexual orientation, disability, ethnicity, race, age, and religion. Capgemini views diversity as everything that makes us who we are as an organization, including our social background, our experiences in life and work, our communication styles and even our personality. These dimensions contribute to the type of diversity we value the most: diversity of thought.