Senior AI Platform Engineer: Cloud & Governance

Capgemini; Greater London; Hybrid; GBP 90,000 - 125,000; Full time

Job summary

Capgemini is building shared engineering foundations for its Financial Services AI practice, blending Capgemini offices, client sites and home working. You will design and operate self-service environments with IaC, build guardrails, and create catalogues that turn prototypes into deployed, test-backed solutions.

You will mentor colleagues, embed with client platforms and help shape cost controls for AI workloads, reporting to the Global CTO.

Qualifications

• 6-8+ years in platform, DevOps or cloud engineering, including IaC and CI/CD.
• Hands-on with at least one hyperscaler (AWS/Azure/GCP) and data platforms.
• Strong knowledge of security concepts, cost controls and cloud governance.
• Proficient in Python scripting; comfortable with containers and orchestration.
• Product-minded approach: measure adoption and outcomes for engineers as customers.
• Experience with Terraform and modern CI/CD pipelines.

Responsibilities

• Design and operate self‑service environments using IaC, cloud and data‑platform blueprints.
• Build guardrails for identity, tagging, budgets, teardown, data egress and audit logs.
• Create catalogues and pipelines to turn prototypes into deployable solutions with tests.
• Measure provisioning time, adoption, cost and reliability to improve the platform.
• Mentor teammates, drive best practices and develop talent within the team.
• Enable clients and embed with client platforms to fit cloud, security and regulatory needs.
• Help design cost controls and operating models for AI workloads.

Skills

Platform/DevOps/Cloud engineering

Hyperscaler experience

Open-source technologies

Security fundamentals

Python scripting & containers

Product mindset

Tools

Terraform

CI/CD pipelines

Databricks

Snowflake

Job description

Capgemini is building shared engineering foundations for its Financial Services AI practice, blending Capgemini offices, client sites and home working. You will design and operate self-service environments with IaC, build guardrails, and create catalogues that turn prototypes into deployed, test-backed solutions.

You will mentor colleagues, embed with client platforms and help shape cost controls for AI workloads, reporting to the Global CTO.