AWS Engineer

About the Job you are considering:

We’re hiring an AWS Serverless Engineer to build and operate large‑scale event‑driven systems using Lambda, API Gateway, Step Functions, EventBridge, and DynamoDB. You’ll also work on document ingestion and OCR/ML/GenAI pipelines, delivering human‑in‑the‑loop validation tools with a strong focus on security, observability, and cost‑efficient cloud architecture

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.

Your Role \& Skills:

Design build and operate serverless APIs and event driven services on AWS API Gateway Lambda Step Functions Event Bridge

Integrate document ingestion OCRML extraction and generative AI pipelines normalize extracted data to a common schema

Implement reliable storage indexing and search for documents and metadata S3 DynamoDB RDS

Ensure security observability scalability and cost efficiency across services IAM VPCs monitoring tracing CICD

Core AWS serverless platform

Handson experience with AWS Lambda Nodejs or Python runtime including cold start optimization memory tuning and concurrency limits

API Gateway REST and or HTTP APIs routing authorization request response transformations throttling and caching

Event driven services EventBridge SNS and SQS for asynchronous pipelines retry semantics DLQs and atleastonceexactlyonce considerations

Storage Amazon S3 for object storage lifecycle policies versioning presigned URLs and understanding of S3 performance and consistency model

Databases DynamoDB singletable design GSIs transactions andor RDS PostgresMySQL depending on relational needs familiarity with choosing the right persistence model

IAM security Leastprivilege IAM policies resourcebased policies KMS for encryption and secure access patterns

Generative AI ML and document extraction

Experience integrating large language models LLMs and generativeAI APIs eg OpenAI Anthropic AWS Bedrock or selfhosted models and designing safe costefficient prompt strategies batching and caching

Basic familiarity with document OCR and extraction tools IE AWS Textract Tesseract and third party OCRIDP Intelligent Document Processing platforms

Knowledge of structured information extraction approaches prompt engineering for LLMs retrievalaugmented generation RAG text embeddings and vector similarity search

Data normalization schema mapping designing canonical schemas entity extraction schema matching and validation and transformation pipelines

API design and eventing

RESTful andor GraphQL API design best practices versioning pagination error handling idempotency and specdriven development OpenAPIAsyncAPI

Eventdriven Architecture Understanding patterns for consuming and emitting events as a part of asynchronous integration patterns

Data Retention

Lifecycle management document states retention policies archival purge workflows and audit trails

Observability reliability and security

Monitoring tracing CloudWatch metricslogs XRay or OpenTelemetry tracing structured logging and building dashboardsalerts for SLOs and error budgets

Testing CICD automated testing unit integration contract tests deployment pipelines GitHub Actions CloudFormationCDK canarybluegreen deployments

Security best practices encryption at restin transit secrets management input validation ratelimiting and OWASP considerations

Cost optimization measuring and optimizing for Lambdacompute costs S3 lifecycle DynamoDB capacity modes and API Gateway charges

Engineering practices soft skills technicaloriented

Infrastructure as code AWS CloudFormation or CDK for reproducible deployments

API contract testing and schema validation OpenAPI JSON Schema and consumerdriven contracts

Collaboration working with product ML teams and QA to iterate on extraction models and validation workflows

We are a Disability Confident Employer:

Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme.

As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:

Declare they have a disability, and

Meet the minimum essential criteria for the role.

Please opt in during the application process.

Make It Real (what does it mean for you):

You’d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions.

To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.

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 ManageMentor, Cybersecurity qualifications and much more.

You will be joining one of the World’s Most Ethical Companies®, as recognised by Ethisphere® for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.

Why you should consider Capgemini:

Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.

About Capgemini:

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.

Make it real \| www.capgemini.com