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.
Job Location
Job is located in McLean-VA - Onsite Hybrid
Your Role
Responsibilities:
Design build and own end-to-end software solutions across the full development lifecycle from architecture to production
Develop scalable backend systems and data pipelines using Scala
Serve as an internal enabler of AIled development onboarding the team onto agentic tools like Claude Cursor Windsurf
Identify and drive productivity acceleration opportunities across the engineering team using AI coding workflows
Mentor engineers and set best practices for AI augmented software delivery
Collaborate with product and application teams to ship high-quality features iteratively8-12 years of end-to-end software development experience covering design build test deploy and operate
Proven track record of delivering production grade systems at scale ideally across multiple domains or industries
Experience working in Agile Scrum environments with cross functional teams
Comfortable owning technical decisions independently and presenting solutions to engineering leadership
Engineering depth
5 years of hands-on Scala development strong grasp of functional programming type systems and the JVM ecosystem
Solid understanding of distributed systems system design and software architecture patterns microservices eventdriven CQRS
Experience with test driven development TDD code review practices and CICD pipelines
Familiarity with data modelling ETLELT pipelines and working with largescale datasets
AI tooling productivity
Hands on experience using Claude Anthropic for AI assisted development code generation and problem-solving
Ability to evaluate adopt and champion emerging AI coding tools as the landscape evolves
Experience measuring and articulating productivity gains from AI tooling adoption across a team
Technical skills
Languages frameworks
Scala Akka Cats Cats Effect ZIO Play Framework SBT
SQL advanced query writing query optimization schema design
AI LLM tooling
Claude Anthropic API prompt engineering API integration agentic workflows
Cursor AInative IDE multifile editing agent mode
Windsurf Cascade agentic workflows AIdriven code navigation
LLM application development LangChain LlamaIndex RAG pipelines vector databases Pinecone Weaviate pgvector
Familiarity with OpenAI Gemini or other LLM provider APIs
Cloud infrastructure
Cloud platforms AWS S3 EC2 ECS Lambda Kinesis RDS GCP or Azure
Containerization Docker Kubernetes Helm
CICD GitHub Actions Jenkins GitLab CI ArgoCD
Infrastructure as Code Terraform Pulumi
Observability quality
Monitoring and logging Datadog Grafana Prometheus ELK Stack
Testing unit integration contract testing ScalaTest Test containers
Code quality SonarQube linting static analysis
Nice to have
Experience with LLM application development RAG pipelines prompt engineering or LangChain LlamaIndex
Background in data engineering or platform engineering at scale
Prior experience as a technical lead or engineering mentor
Familiarity with functional programming principles Cats Cats Effect ZIO
The base compensation range for this role in the posted location is: 80420 - 106050
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:
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.