DevOps Engineer (GCP, K8s)

ETeam Inc
Birmingham, United Kingdom
2 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 148K

Job location

Birmingham, United Kingdom

Tech stack

Cloud Computing
Code Review
DevOps
Identity and Access Management
Python
Role-Based Access Control
Prometheus
Data Logging
Grafana
Caching
GIT
Containerization
Kubernetes
Terraform
Devsecops
Docker
Jenkins

Job description

We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you., * 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 life cycle, 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). Compliance Awareness.

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