Senior Software Engineer AI Platform

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

About the Job you are considering:We are building shared engineering foundations for Capgemini's Financial Services AI practice: governed environments provisioned in minutes, a catalogue that makes reusable work easy to find and deploy, and automation that keeps the platform secure and cost controlled.You will report to the practice's Global CTO. Platforms only create value when people use them, so you will also take what you build into client organisations and help their teams establish governed environments for AI delivery.The places you work from day to day will vary according to the role, your needs and those of the business. The role will blend Capgemini offices, client sites and home working, subject to business and client requirements.Hybrid working:The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.Your Role: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 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.Client Enablement & Deliver.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 workloadsYour Skills:6-8+ years of experience in platform, DevOps or cloud engineering, including infrastructure as code such as Terraform and CI/CD pipelines you have built and operated.Deep hands-on knowledge of at least one hyperscaler: AWS, Microsoft Azure or Google Cloud, plus experience administering Databricks or Snowflake.Good understanding of open-source technologies.Strong security fundamentals across identity, secrets and network isolation, with a practical understanding of cloud cost management.Strong Python scripting skills and confidence with containers and orchestration.A product mindset: engineers are your customers, and you measure adoption and outcomes.We are a Disability Confident Employer: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, andMeet the minimum essential criteria for the role.Please opt in during the application process.Make It Real (what does it mean for you):You’d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organization. We see a healthy and happy workforce a critical component for us to achieve our organizational ambitions.To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.You will be joining one of the World’s Most Ethical Companies, as recognized by Ethisphere for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.Why you should consider Capgemini:Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.About Capgemini: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. With our 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.Make it real | www.capgemini.com