Senior Platform Engineer

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

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. 

• →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

• 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 

• Familiarity with modern Policy-as-Code tooling 

• A passion for introducing and automating operational rigour and structure 

• Experience supporting ML and Data Engineering workloads 

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.