14 days ago
London, United KingdomSenior
Responsibilities
- Design and operate self-service environments using infrastructure as code, cloud and data-platform blueprints, agent runtimes, and synthetic data capabilities.
- Implement identity, secrets, tagging, budget limits, automatic teardown, data-egress protection, and audit logging guardrails.
- Create catalogues and packaging pipelines that turn prototypes into deployable solutions with automated tests and evaluation gates.
- Measure provisioning time, adoption, cost, and reliability to continuously improve the platform.
- Build engineering best practices, mentor colleagues, and develop team talent.
- Embed with client platforms and engineering teams to establish governed AI environments.
- Help clients design cost controls and operating models for AI workloads.
Requirements
- 6–8+ years of experience in platform, DevOps, or cloud engineering.
- Experience building and operating infrastructure as code, including Terraform, and CI/CD pipelines.
- Deep hands-on knowledge of at least one of AWS, Microsoft Azure, or Google Cloud.
- Experience administering Databricks or Snowflake.
- Good understanding of open-source technologies.
- Strong security fundamentals across identity, secrets, and network isolation, plus practical cloud cost-management knowledge.
- Strong Python scripting skills and confidence with containers and orchestration.
- A product mindset focused on engineer users, adoption, and outcomes.
Benefits
- Hybrid working across Capgemini offices, client sites, and home, with the requirement that the role cannot be performed from home 100% of the time.
- Wellbeing support including Mental Health Champions and access to Thrive and Peppy wellbeing apps.
- Training and development opportunities including thinktanks, hackathons, access to 250,000 courses, and external certifications.
- Inclusive recruitment support through Capgemini’s Disability Confident Employer commitment.
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.