This is a job that we are recruiting for on behalf of one of our customers. To apply, speak to Jack. He's an AI agent that sends you unmissable jobs and then helps you ace the interview. He'll make sure you are considered for this role, and help you find others if you ask. Platform Site Reliability Engineer Company Description: A fast-growing AI infrastructure platform startup building the backbone for next-generation AI workloads, connecting software and hardware at scale in a highly technical, mission-critical environment. Job Description: As a Platform Site Reliability Engineer, you will own and evolve a highly available AI infrastructure platform, ensuring stability, security, and performance across bare-metal, virtualization, and orchestration layers. You’ll deploy and optimize Kubernetes for AI workloads, drive automation, manage incidents, and mentor others while supporting a 24/7 production environment. Location: Gloucestershire, UK Why this role is remarkable: Work at the forefront of AI infrastructure, bridging hardware and software for cutting-edge AI workloads Operate and scale complex bare-metal, virtualized, and Kubernetes-based platforms Make a meaningful impact on reliability, automation, and team capability within a well-funded startup What you will do: Deploy, operate, and scale Kubernetes clusters supporting AI-centric workloads Optimize Linux systems and build automation for platform lifecycle management and incident response Maintain observability and reliability using tools such as Prometheus and Grafana in 24/7 production environments The ideal candidate: 5+ years’ experience in globally scaled, performance-critical SRE environments with 24/7 operations 3+ years’ hands-on experience deploying and running orchestration platforms, with deep Kubernetes expertise Expert-level Linux administration (especially Ubuntu), strong system tuning skills, and solid networking fundamentals How to Apply: To apply for this job speak to Jack, our AI recruiter. Step 1. Visit our website Step 2. Click 'Speak with Jack'. Step 3. Login with your LinkedIn profile. Step 4. Talk to Jack for 20 minutes so he can understand your experience and ambitions Step 5. If the hiring manager would like to meet you, Jack will make the introduction