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AWS cloud Engineer

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Location- Portsmouth, NH- required hybrid

Summary-

Design build and operate serverless APIs and even tdriven 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
Build tooling and UIs for human in the loop validation React TypeScript frontends backend APIs
Ensure security observability scalability and cost efficiency across services IAM VPCs monitoring tracing CICD

Job Description -

 

  • 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 Event Bridge SNS and SQS for asynchronous pipelines retry semantics DLQs and at least once exactly once considerations
  • Orchestration AWS Step Functions Standard and Express for coordinating multistep workflows and long running jobs
  • Storage Amazon S3 for object storage lifecycle policies versioning presigned URLs and understanding of S3 performance and consistency model
  • Databases DynamoDB single table design GSIs transactions and or RDS Postgres MySQL depending on relational needs familiarity with choosing the right persistence model
  • IAM security Least privilege IAM policies resource based policies KMS for encryption and secure access patterns
    Generative AI ML and document extraction
  • Experience integrating large language models LLMs and generative AI APIs eg Open AI Anthropic AWS Bedrock or selfhosted models and designing safe cost-efficient 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 retrieval augmented 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
  • Open API Async API
  • Idempotent operations concurrency control optimistic locking and sequence guarantees where required
  • Event modeling designing domain events event contracts event versioning and event driven architectures with durable delivery Event Bridge SNSSQS Kafka
    Frontend and human in the loop tools
  • Frontend frameworks React preferred TypeScript component libraries and state management for building validation UIs and dashboards
  • UX for human in the loop designing review approve reject workflows diffing extracted vs original content confidence indicators and bulk validation tools
  • Micro Frontend Implement micro frontends to compose UX components as independently deployable versioned modules
  • Analytics visualization integrating charts graphs for accuracy metrics error rates model drift indicators leveraging tools like Power BI or Tableau
    Observability reliability and security
  • Monitoring tracing CloudWatch metrics logs XRay or Open Telemetry tracing structured logging and building dashboards alerts for SLOs and error budgets
  • Testing CICD automated testing unit integration contract tests deployment pipelines GitHub Actions Cloud Formation CDK canary blue green deployments
  • Security best practices encryption at rest in transit secrets management input validation rate limiting and OWASP considerations
  • Cost optimization measuring and optimizing for Lambda compute costs S3 lifecycle DynamoDB capacity modes and API Gateway charges
  • Engineering practices soft skills technical oriented
  • Infrastructure as code AWS CloudFormation or CDK for reproducible deployments.

The base compensation range for this role in the posted location is:$ 110,000 - 120,000

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

 

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: 

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

 

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect.  We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States.  http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

 

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

 

Ref. code:  424731
Posted on:  Feb 23, 2026
Experience Level:  Experienced Professionals
Contract Type:  Permanent
Location: 

US

Brand:  Capgemini
Professional Community:  Software Engineering

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