Scala Engineer

Your Role

• 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, 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

Qualifications

• 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 including microservices, event-driven, and CQRS
• Experience with test-driven development (TDD), code review practices, and CI/CD pipelines
• Familiarity with data modeling, ETL/ELT 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, SBT; SQL (advanced query writing, query optimization, schema design)
• AI & LLM Tooling: Claude (Anthropic API, prompt engineering, API integration, agentic workflows), Cursor (AI-native IDE, multi-file editing, agent mode), Windsurf (Cascade agentic workflows, AI-driven 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: AWS (S3, EC2, ECS, Lambda, Kinesis, RDS), GCP, or Azure; containerization with Docker, Kubernetes, Helm
• CI/CD: GitHub Actions, Jenkins, GitLab CI, ArgoCD
• Infrastructure as Code: Terraform, Pulumi
• Observability & Quality: Monitoring and logging with Datadog, Grafana, Prometheus, ELK Stack; testing (unit, integration, contract) with ScalaTest, Testcontainers; code quality with 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)

Pay

Base compensation range for this role in the posted location: $80,420 - $106,050. Actual compensation may fall outside of this range and is determined by multiple factors including geographic location, education and qualifications, certifications and licenses, relevant experience and skills, seniority and performance, market and business considerations, and internal pay equity. This role may also be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Benefits

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

• Paid time off based on employee grade (A-F): 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

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.