> Markdown version of [/jobs/ext/3210912-platform-engineer-aws-kubernetes](https://www.wearedevelopers.com/jobs/ext/3210912-platform-engineer-aws-kubernetes). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Platform Engineer - AWS & Kubernetes - **Company:** CGI Group Inc. - **Location:** Gloucester, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Software Applications, Continuous Integration, Python (Programming Language), Software Tools, Cloud Platform System, Delivery Pipeline, Fastapi, SC Clearance, Build Management, AI Platforms, Kubernetes, AWS EKS - **Published:** September 29, 2026 - **Apply:** https://www.free-work.com/en-gb/tech-it/job-mission/data-engineer-1/senior-platform-engineer-aws-kubernetes ## About the Role You should bring hands-on platform engineering experience and be comfortable working with cloud-native technologies in complex environments. You'll combine practical AWS and Kubernetes expertise with Python and CI/CD knowledge, alongside the ability to collaborate effectively, take ownership of technical challenges and develop creative solutions with the support of a wider engineering community. Kubernetes: Proven experience deploying and managing applications on Kubernetes. AWS: Strong practical experience working with AWS, including operating workloads on Amazon EKS. Python: Ability to contribute to the development of applications, automation or engineering tools using Python. CI/CD: Hands-on experience using and managing CI/CD tooling and automated delivery pipelines. Platform Engineering: Experience building, operating or improving reliable cloud-based platforms. Collaboration: Ability to work effectively with multidisciplinary engineering teams and contribute to shared technical outcomes. ## Description Join CGI as a Platform Engineer and help shape the secure, scalable foundations that enable innovative AI services to move from development into operational environments. You'll take ownership of meaningful engineering challenges, using AWS, Kubernetes and automation to create reliable platforms that accelerate delivery and generate lasting value for our clients. Working alongside collaborative teams and drawing on CGI's wider expertise, you'll have the freedom to explore creative approaches, influence technical direction and turn ideas into robust solutions. This is an opportunity to make a tangible impact on complex programmes while developing your expertise in a supportive environment where your contribution and career can grow., In this role, you will help design, build and operate the platform capabilities that support the development, integration and hosting of AI services. You'll take ownership of platform engineering activities across AWS and Kubernetes environments, helping teams develop efficiently and deploy securely into operational environments. Working collaboratively with engineering and client teams, you'll apply your expertise to improve automation, reliability and consistency across environments. You'll have the opportunity to introduce new ideas, solve complex engineering challenges and continuously enhance the tools and processes that enable successful delivery, with support from CGI's wider community of technical experts. Design & Build: Develop and enhance scalable platform capabilities using AWS and Kubernetes. Deploy & Operate: Deploy, manage and maintain applications running on Kubernetes and AWS EKS. Develop & Improve: Contribute to Python applications, utilities and engineering tools that improve platform capabilities. Automate & Optimise: Build and improve CI/CD pipelines to enable reliable, repeatable and efficient delivery. Integrate & Enable: Support the integration and hosting of AI services across client environments. Collaborate & Innovate: Work with engineering teams to solve technical challenges and continuously improve platform design and delivery. Own & Deliver: Take responsibility for high-quality engineering outcomes while contributing to the technical direction of the platform.