Scala Engineer

Capgemini • Mclean, VA

10h • $80,420 - $106,050 • Hybrid

About The Position

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.

Requirements

• 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 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 event-driven CQRS
• Experience with test driven development TDD code review practices and CICD pipelines
• Familiarity with data modelling ETL/ELT 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 Haves

• 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

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 AI-led 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 iteratively

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed