Senior Platform Engineer — Cloud, Kubernetes & SRE

Ellison Institute of Technology

Oxford

On-site

GBP 75,000 - 110,000

Full time

5 days ago
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Benefits offered by this job

Travel allowance
Performance bonus
Pension 7.5%
Life Assurance
Private medical insurance
Employee discounts
Electric car scheme
Nursery
Cycle to Work
Family planning
Neurodiversity support
Coaching & Therapy

Job summary

Ellison Institute of Technology in Oxford is recruiting for a SciComp Platform Engineer to build and operate a cloud foundation that accelerates experiments and ensures reliable, secure platforms with self-service guardrails.

You will work with Research and Data teams to support Python notebooks and distributed clusters, delivering scalable infrastructure and auditable pipelines in a fast-paced environment.

Qualifications

  • Proven experience in platform engineering and automating operational processes.
  • Proactive attitude and habit of introducing automated structure.
  • Expertise with major cloud providers (OCI, AWS, GCP or Azure).
  • Proficiency with Terraform for large-scale infrastructure provisioning.
  • Experience operating large-scale Kubernetes clusters.
  • Experience with system-level languages (Python, Go or Java) and scripting.

Responsibilities

  • Architect, build, and operate cloud platform with resilient compute, network, and storage.
  • Drive structured delivery pipelines (CI/CD/GitOps) for auditable changes.
  • Design and deploy Policy-as-Code governance and security controls.
  • Establish monitoring, alerting, and telemetry with clear SLOs.
  • Collaborate with Research and Data teams to support diverse workloads.

Job description

Ellison Institute of Technology in Oxford is recruiting for a SciComp Platform Engineer to build and operate a cloud foundation that accelerates experiments and ensures reliable, secure platforms with self-service guardrails.

You will work with Research and Data teams to support Python notebooks and distributed clusters, delivering scalable infrastructure and auditable pipelines in a fast-paced environment.

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