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About the Role
We are building shared engineering foundations for Capgemini's Financial Services AI practice, focusing on governed environments, a reusable work catalogue, and automation for security and cost control. You will report to the Global CTO and work directly with client organizations to help them establish governed environments for AI delivery.
Responsibilities
- Design and operate self-service environments through infrastructure as code, including cloud and data-platform blueprints, agent runtimes and synthetic data capabilities that can be provisioned in minutes.
- Build guardrails 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.
- Help clients design cost controls and operating models for AI workloads.
Requirements
- 6-8+ years of experience in platform, DevOps or cloud engineering.
- Experience with infrastructure as code such as Terraform.
- Experience with CI/CD pipelines you have built and operated.
- Deep hands-on knowledge of at least one hyperscaler: 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.
- Practical understanding of cloud cost management.
- Strong Python scripting skills.
- Confidence with containers and orchestration.
- A product mindset: engineers are your customers, and you measure adoption and outcomes.
Skills
- Platform engineering
- DevOps
- Cloud engineering
- Infrastructure as Code (Terraform)
- CI/CD pipelines
- AWS
- Microsoft Azure
- Google Cloud
- Databricks administration
- Snowflake administration
- Open-source technologies
- Security fundamentals
- Cloud cost management
- Python scripting
- Containers
- Orchestration
- Product mindset
Location
- Capgemini offices
- Client sites
- Home working
Work Type
- Hybrid working
Experience Level
- 6-8+ years of experience
Benefits
- Accredited Great Place to Work for Wellbeing in 2024
- Trained ‘Mental Health Champions’
- Wellbeing apps such as Thrive and Peppy
- Empowerment to explore, innovate, and progress
- Capgemini’s ‘learning for life’ mindset
- Countless training and development opportunities
- Access to 250,000 courses
- Numerous external certifications (AWS, Microsoft, Harvard ManageMentor, Cybersecurity)
- Opportunity to work for one of the World’s Most Ethical Companies®
About the Company
- Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value.
- We imagine the future of organizations and make it real with AI, technology and people.
- We have a strong heritage of nearly 60 years.
- We are a responsible and diverse group of 420,000 team members in more than 50 countries.
- We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.
- The Group reported 2024 global revenues of €22.1 billion.
Equal Opportunity
- Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme.
- As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who: Declare they have a disability, and Meet the minimum essential criteria for the role.
- Please opt in during the application process.