Negotiable
Undetermined
Hybrid
Birmingham, England, United Kingdom
Summary: The role of DevOps Engineer focuses on leveraging deep expertise in Kubernetes and GCP services to enhance observability and infrastructure management. The position requires strong troubleshooting skills and proficiency in Infrastructure-as-Code practices, particularly with Terraform. The candidate will work in a hybrid environment, spending three days per week in the office.
Key Responsibilities:
- Manage and optimize Kubernetes internals including scheduler, controllers, and pod lifecycle.
- Utilize GCP services such as GKE, Cloud Build, and Cloud Logging/Monitoring.
- Conduct performance troubleshooting and latency analysis.
- Implement Infrastructure-as-Code using Terraform.
- Develop and maintain observability stacks with tools like Prometheus and Grafana.
- Write and optimize Python code for various DevOps tasks.
Key Skills:
- Kubernetes
- GCP services
- Infrastructure-as-Code
- Terraform
- Open Telemetry
- Performance profiling
Salary (Rate): undetermined
City: Birmingham
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
I am hiring for DevOps Engineer (GCP / IAC/ observability) Location: Sheffield/Birmingham/Edinburgh - Hybrid / 3 days Per week in Office Deep expertise in Kubernetes internals (scheduler, controllers, pod lifecycle, RBAC, networking, ingress, HPA/VPA). Strong knowledge of GCP services (GKE, Cloud Build, Artifact Registry, Pub/Sub, Cloud Logging/Monitoring, IAM). Performance troubleshooting skills (CPU/memory profiling, latency analysis, concurrency tuning). Experience with Infrastructure-as-Code (Terraform modules, state management, policy enforcement). Proficiency with observability stacks (Prometheus, Grafana, Open Telemetry) and alert tuning. Advanced Python skills (packages, virtual environments, dependency management, performance profiling). Key Skills: Kubernetes / GCP services / Infrastructure-as-Code / Terraform / Open Telemetry / performance profiling