Scala Engineer

Scala Engineer Job Location

McLean, VA - Onsite Hybrid

• 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 AI‑led development by onboarding the team onto agentic tools such as Claude, Cursor and 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 iteratively.

• 8‑12 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, preferably 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.
• 5 years of hands‑on Scala development with a strong grasp of functional programming, type systems and the JVM ecosystem.
• Solid understanding of distributed systems, system design, microservices, event‑driven architecture and CQRS.
• Experience with test‑driven development (TDD), code‑review practices and CI/CD pipelines.
• Familiarity with data modelling, ETL/ELT pipelines and working with large‑scale datasets.
• 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.

• Scala, Akka, Cats, Cats Effect, ZIO, Play Framework, SBT
• SQL – advanced query writing, query optimization, schema design

• Claude Anthropic API, prompt engineering, API integration, agentic workflows
• Cursor, WindRSF – IDE multi‑file editing, agent mode
• Windsurf Cascade – agentic workflows, AI‑driven code navigation
• Lang Chain, Llama Index – RAG pipelines, vector databases (Pinecone, Weaviate, pgvector)
• Familiarity with OpenAI, Gemini or other LLM provider APIs

• Cloud platforms: AWS (S3, EC2, ECS, Lambda, Kinesis, RDS), GCP or Azure
• Containerization:
  Docker, Kubernetes, Helm
• CI/CD:
  Git Hub Actions, Jenkins, Git Lab CI, ArgoCD
• Infrastructure as Code:
  Terraform, Pulumi

• Monitoring and logging:
  Datadog, Grafana, Prometheus, ELK Stack
• Testing: unit, integration, contract testing with Scala Test, Testcontainers
• Code quality:
  Sonar Qube, linting, static analysis

• Experience with LLM application development, RAG pipelines, prompt engineering, or Lang Chain/Llama Index.
• Background in data engineering or platform engineering at scale.
• Previous 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.

• 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.

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. 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.