Senior AI Platform Engineer – Governed, Self‑Service

Capgemini; Greater London; Hybrid; GBP 80,000 - 110,000; Full time

Benefits offered by this job

Wellbeing program

Learning & development

Disability confident employer

Job summary

Capgemini is building shared engineering foundations for its Financial Services AI practice and is seeking a platform/DevOps engineer to design and operate self-service environments via infrastructure as code, cloud blueprints, and guardrails for security, cost control, and governance.

You will embed with client teams, mentor colleagues, and help scale the platform across clouds, focusing on adoption and outcomes with a product mindset.

Qualifications

• 6-8+ years of experience in platform, DevOps or cloud engineering.
• Infrastruct ure as code such as Terraform and CI/CD pipelines you have built and operated.
• Deep hands-on knowledge of at least one hyperscaler: AWS, Azure or Google Cloud.
• Experience administering Databricks or Snowflake.
• Strong understanding of open-source technologies.
• Strong security fundamentals across identity, secrets and network isolation, with cloud cost management.

Responsibilities

• Design and operate self-service environments through infrastructure as code, including cloud and data-platform blueprints, agent runtimes and synthetic data capabilities.
• Build guardrails from the start, including identity, tagging, budget limits, automatic teardown, data-egress protection, and audit logging.
• Create catalogues and packaging pipelines that turn prototypes into deployable, demonstrable solutions with automated tests and evaluation gates.
• Measure provisioning time, adoption, cost and reliability, and use those insights to improve the platform continuously.
• Build engineering best practices in the team, mentor colleagues and develop talent.
• Embed with client platforms and engineering teams to establish governed AI environments adapted to their cloud, security and regulatory constraints.

Skills

Terraform

CI/CD pipelines

Cloud engineering

Databricks

Snowflake

Python scripting

Containers & orchestration

Security fundamentals

Cloud cost management

Product mindset

Tools

Databricks

Snowflake

Job description

Capgemini is building shared engineering foundations for its Financial Services AI practice and is seeking a platform/DevOps engineer to design and operate self-service environments via infrastructure as code, cloud blueprints, and guardrails for security, cost control, and governance.

You will embed with client teams, mentor colleagues, and help scale the platform across clouds, focusing on adoption and outcomes with a product mindset.