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Site Reliability Engineer

Job in Leeds, West Yorkshire, ME17, England, UK
Listing for: Osmii
Part Time position
Listed on 2026-02-24
Job specializations:
  • IT/Tech
    Cloud Computing, Systems Engineer, SRE/Site Reliability, Network Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 GBP Yearly GBP 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Site Reliability Engineer, Contract (12m), Leeds OR Bristol (hybrid, 2 days a week)

Multiple Site Reliability Engineers need for a national core banking project on a team supporting R&D projects across a large GCP environment.

You will be the bridge between development and infrastructure, focusing on the availability, latency, performance, and capacity of GCP-hosted services.

You won’t just be managing servers; you’ll be building the automated systems that manage them for you. Our goal is to maintain a high "feature velocity" while ensuring our error budget remains intact.

Key Responsibilities
  • Infrastructure as Code (IaC): Architect and maintain scalable infrastructure using Terraform
  • Kubernetes Orchestration: Manage and optimize our GKE (Google Kubernetes Engine) clusters, including autoscaling, networking, and security policies.
  • Observability: Implement and refine monitoring, logging, and tracing using Google Cloud Operations Suite (formerly Stackdriver), Prometheus, or Grafana.
  • Post-Mortems to ensure we learn from every production hiccup.
  • CI/CD Optimization: Streamline our deployment pipelines using Cloud Build, Git Lab CI, or Git Hub Actions to ensure "boring" and predictable releases.
Technical Requirements
  • GCP Expertise: Deep experience with core services (Compute Engine, Cloud Run, Pub/Sub, Cloud Spanner/SQL, and IAM).
  • Networking: Solid understanding of VPCs, Load Balancing, DNS, and TLS/SSL.
  • Coding: a bonus if you have ability in Python, Go, or Java.
  • SRE Mindset: Familiarity with the Google SRE Book concepts (SLIs, SLOs, and Error Budgets).
Preferred Qualifications
  • Background in managing large-scale data pipelines or distributed systems.
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