DevOps Engineer (Kubernetes)

Kubernetes DevOps Engineer

Location: Fully Remote – Within EU
Type: 2 year contract

Role Overview:

We are seeking an experienced Kubernetes DevOps Engineer to ensure the operational health, security, and reliability of Kubernetes-based development and production environments. This role focuses on maintaining cluster infrastructure, addressing vulnerabilities, and enhancing CI/CD pipelines to enable the secure and efficient delivery of cloud-native applications. The ideal candidate is proactive, detail‑oriented, and thrives in a collaborative environment.

Key Responsibilities:

• Maintain, monitor, and upgrade Kubernetes clusters and associated infrastructure.
• Identify, remediate, and manage CVEs in container base images and application dependencies.
• Rebuild and redeploy container images as part of routine maintenance.
• Enhance and support CI/CD workflows for Kubernetes workloads, ensuring automation and reliability.
• Implement and automate security and compliance checks across environments.
• Collaborate with development teams to align platform updates with application lifecycles.
• Troubleshoot and resolve issues affecting production workloads.
• Document processes and maintain operational runbooks for reference and knowledge sharing.

Required Skills & Experience:

• Strong understanding of Kubernetes architecture, operations, and best practices.
• Experience with container image management (Docker, BuildKit, etc.).
• Proficiency with CI/CD tools such as GitLab CI, ArgoCD, Jenkins, or Concourse.
• Experience with Infrastructure-as-Code tools including Helm, Kustomize, and Terraform.
• Proficient in scripting languages (Bash, Python, Go).
• Experience with monitoring and observability tools such as Prometheus and Grafana.

Optional / Desirable Skills:

• Certified Kubernetes Application Developer (CKAD) or Administrator (CKA).
• Knowledge of Kubernetes security practices including Pod Security and Network Policies.
• Experience with service meshes such as Istio or Linkerd.
• Exposure to cloud platforms including AWS, Azure, OpenStack, or GCP.
• Contributions to open source or upstream Kubernetes projects.