Scala Engineer

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 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 eventdriven 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

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 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

The 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, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

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

• 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

Important Notice: 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.

Capgemini ist einer der weltweit führenden Anbieter von Management- und IT-Beratung, Technologie-Services und Digitaler Transformation. Als ein Wegbereiter für Innovation unterstützt das Unternehmen seine Kunden bei deren komplexen Herausforderungen rund um Cloud, Digital und Plattformen.