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# Scala - AI Senior Software Engineer

- **Company:** Capgemini
- **Location:** McLean, VA, United States
- **Experience:** Expert
- **Salary:** $57,699.0 - $90,147.0
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Akka (Toolkit), Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Microsoft Azure, Cloud Computing, Static Program Analysis, Code Generation, Software Quality, Code Review, Continuous Integration, Command-Query Responsibility Segregation (Software Development), Information Engineering, Cursor (Graphical User Interface Elements), Programming Tools, Distributed Systems, Event-Driven Programming, Github, Java Virtual Machine (JVM), Play Framework, Scrum Methodology, Software Architecture, Query Optimization, Prometheus, Standard Sql, Software Engineering, Software Systems, SonarQube, Type Systems, Datadog, Data Logging, Pulumi, Test-Driven Development (TDD), Large Language Models, Grafana, Prompt Engineering, Backend, Gitlab-ci, Kubernetes, Sbt (Software), Functional Programming, Terraform, Data Pipelines, Docker, Elk Stack, Jenkins, Microservices
- **Published:** July 8, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=981903f778b7a5f5

## About the Role

Docker & Kubernetes
aws cloud
stakeholder communication
CI/CD
Agile/Scrum methodology
AI Development
Testing & Observability

We are looking for a senior software engineer who brings deep technical expertise in Scala alongside hands-on fluency with the latest AI assisted development tools You will not just write great code you will raise the productivity ceiling of our entire engineering team by championing AI led development practices, * 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 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

Leadership enablement:

 * Demonstrated ability to mentor and upskill engineers at junior and mid levels
 * Passionate about building a culture of continuous learning and AI augmented development
 * Strong communication skills able to translate technical concepts to nontechnical stakeholders, * 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

## Description

* 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, * 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 multifile 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 Open AI 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


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