Hybrid Cloud Platform Engineer for AI Governance

Capgemini; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

Capgemini in London is seeking an experienced DevOps Cloud Engineer to design and operate self-service environments using Infrastructure as Code, with cloud and data-platform blueprints ready for rapid provisioning.

You will build guardrails for identity, tagging, budgets and audit logging, package prototypes into deployable solutions, partner with client teams, and help them optimize cost and security for AI workloads.

Qualifications

• 6-8+ years in platform, DevOps or cloud engineering.
• Experience with IaC and Terraform.
• Hands-on cloud experience with AWS/Azure/GCP.

Responsibilities

• Design and operate self-service environments through IaC, including cloud and data-platform blueprints.
• Build guardrails for identity, tagging, budget limits, automatic teardown, data-egress protection and audit logging.
• Create catalogues and packaging pipelines turning prototypes into deployable, testable solutions.
• Embed with client platforms and engineering teams to enable governed AI environments.

Skills

Terraform

CI/CD pipelines

Python scripting

Cloud platforms

Security fundamentals

Tools

Databricks

Snowflake

Job description

Capgemini in London is seeking an experienced DevOps Cloud Engineer to design and operate self-service environments using Infrastructure as Code, with cloud and data-platform blueprints ready for rapid provisioning.

You will build guardrails for identity, tagging, budgets and audit logging, package prototypes into deployable solutions, partner with client teams, and help them optimize cost and security for AI workloads.