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# Senior Platform Engineer

- **Company:** Ellison Institute of Technology Oxford
- **Location:** Oxford, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Microsoft Azure, Computer Clusters, Continuous Integration, Information Engineering, Python (Programming Language), YAML, Policy as Code, Scripting, Google Cloud, Cloud Platform System, Kubernetes, Infrastructure Automation Frameworks, Operational Systems, Terraform, Oracle Cloud Infrastructure
- **Published:** September 8, 2026
- **Apply:** https://www.collegerecruiter.com/job/2840574277-senior-platform-engineer

## About the Role

* Proven experience in platform engineering with a demonstrable track record of architecting and automating operational processes.
 * Highly proactive attitude and 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 operating and managing large-scale, resilient Kubernetes clusters.
 * Proficiency in at least one major system-level language (Python, Go, or Java) with scripting experience.

## Description

* Architect, build, and operate our cloud platform, moving infrastructure beyond 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) to enforce automated, repeatable infrastructure changes.
 * Design and deploy automated governance and security controls using Policy-as-Code (e.g., 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., * Familiarity with modern Policy-as-Code tooling.
 * Passion for introducing and automating operational rigour and structure.
 * Experience supporting ML and Data Engineering workloads.


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