Scala 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.

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 depth5 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 CQRSExperience with test driven development TDD code review practices and CICD pipelines

Familiarity with data modelling ETLELT pipelines and working with large scale 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 SBTSQL advanced query writing query optimization schema designAI LLM tooling

Claude Anthropic API prompt engineering API integration agentic workflows

Cursor AInative IDE multifile editing agent mode Windsurf Cascade agentic workflows AIdriven code navigationLLM application development Lang Chain Llama Index RAG pipelines vector databases Pinecone Weaviate pgvector

Familiarity with OpenAI Gemini or other LLM provider APIsCloud infrastructure

Cloud platforms AWS S3 EC2 ECS Lambda Kinesis RDS GCP or Azure Containerization Docker Kubernetes HelmCICD Git Hub Actions Jenkins Git Lab CI ArgoCDInfrastructure as Code Terraform Pulumi Observability quality

Monitoring and logging Datadog Grafana Prometheus ELK Stack Testing unit integration contract testing Scala Test Test containers

Code quality Sonar Qube linting static analysis

Nice to have

Experience with LLM application development RAG pipelines prompt engineering or Lang Chain Llama Index 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 ZIOThe 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,…