GCP DevOps Engineer
Role details
Job location
Tech stack
Job description
Overview: Seeking an experienced senior engineer to own and optimize CI/CD, cloud infrastructure, and application performance. Focus on Python, Kubernetes workloads, and GCP platform reliability. This position is a contract position that will likely renew on a daily basis. It is hybrid working with 3 days in office with Office locations being either Sheffield, Birmingham, Edinburgh or London (Sheffield is preferred).
Core Responsibilities:
Diagnose and resolve performance issues across k8s clusters (networking, autoscaling, resource tuning).
Design, implement, and maintain CI/CD pipelines (Jenkins, Tekton).
Optimize build, test, and deployment workflows (artifact strategy, caching, security gates).
Implement observability (logging, metrics, tracing) and performance dashboards.
Manage infrastructure-as-code (Terraform or equivalent) and environment provisioning in GCP.
Enforce DevSecOps best practices (image hardening, secrets management, SBOM, scanning).
Support incident response, root cause analysis, and capacity planning.
Mentor engineering teams on pipeline usage and operational excellence.
Requirements
Expert Kubernetes internals (scheduler, controllers, pod lifecycle, RBAC, networking, ingress, HPA/VPA).
Expert GCP services (GKE, Cloud Build, Artifact Registry, Pub/Sub, Cloud Logging/Monitoring, IAM).
Performance troubleshooting (CPU/memory profiling, latency analysis, concurrency tuning).
Infrastructure-as-Code (Terraform modules, state management, policy enforcement).
Observability stack (Prometheus, Grafana, OpenTelemetry, alert tuning).
Strong Python (packages, virtual environments, dependency management, performance profiling).
Strong Jenkins (shared libraries, pipelines-as-code) & Tekton (Tasks, Pipelines, Triggers).
Containerization (Docker image optimization, multi-stage builds, runtime security).
Git workflows (branching strategy, release tagging, code review automation).
