Senior Platform Engineer

About this job

Join is at EIT: At the Ellison Institute of Technology (EIT), we’re on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, policy makers, and entrepreneurs to tackle humanity’s greatest challenges in four transformative areas: • Health, Medical Science & Generative Biology • Food Security & Sustainable Agriculture • Climate Change & Managing CO₂ • Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you’ll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas for lab to society. Explore more at www.eit.org Your Role: Join our SciComp team to build the cloud and compute foundation that enables scientific breakthroughs. Deliver reliable, secure platforms and self-service guardrails that accelerate experimentation and turn ideas into results - faster, at scale, and with confidence. Your Responsibilities: • Architect, build, and operate our cloud platform, moving infrastructure beyond the initial setup to deliver resilient compute, network, and storage, including full-sized GPU clusters • Drive the implementation of highly structured, auditable delivery pipelines (CI/CD/GitOps) using to enforce automated, repeatable infrastructure changes • Design and deploy automated governance and security controls using Policy-as-Code (specifically Kyverno and YAML) to ensure strong isolation, protect data, and meet internal audit standards • Establish the foundational monitoring, alerting, and telemetry framework required for robust operations, defining clear SLOs, and setting the course for future SRE work • Partner with Research and Data teams to build self-service capabilities that efficiently support diverse workloads, from Python notebooks to distributed clusters Requirements Essential Skills, Qualifications & Experience: • Proven experience platform engineering, with a demonstrable track record of architecting and automating operational processes • A highly proactive attitude and a passion for introducing and automating operational structure • Expertise with at least one major cloud provider (OCI, AWS, GCP, or Azure) • Proficiency with Terraform for declarative, large-scale infrastructure provisioning • Comfortable with operating and managing large-scale, resilient Kubernetes clusters • Proficiency in at least one major language for system-level tools (e.g. Python, Go, or Java) with some scripting experience Desirable Skills, Qualifications & Experience: • Familiarity with modern Policy-as-Code tooling • A passion for introducing and automating operational rigour and structure • Experience supporting ML and Data Engineering workloads Benefits We offer the following salary and benefits: • Competitive salary (dependent on experience) + travel allowance + bonus • Enhanced holiday. Our annual leave allowance is 25 days plus 8 bank holidays and an additional 3 days between Christmas and New Year. You will also have the opportunity to purchase an additional 5 days annual leave in January and July. • Pension - Employer contribution 7.5%, minimum employee contribution 5% • Life Assurance. • Income Protection • Private Medical Insurance as standard for you, your partner and any dependents. Including hospital Cash Plan • Employee discounts • Electric car scheme • Nursery Salary Sacrifice scheme • Cycle to Work Scheme • Family Planning • Neurodiversity support including advise and assessments • Coaching & Therapy services Working together - what it involves: You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case-by-case basis. You will live in, or within easy commuting distance of, Oxford/London (or be willing to relocate). The SciComp team work to a hybrid working pattern of 3 days in the office, 2x in our Oxford Office and 1x in our London office. You must be able to commit to this should you be successfully appointed.