Kubernetes Engineer

2 weeks ago

Bengaluru Hyderabad, India Volantis Technologies Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Title: Kubernetes Engineer

Experience: 8+ yrs

Location: Hyderabad or Bangalore (WFO all 5 days / week),

Shift Timings: 2pm to 11pm

Certifications : Certified Kubernetes Administrator (CKA) ( Must Have )

Responsibilities

  • Design, deploy, and manage Kubernetes clusters (EKS, self-managed, and hybrid).
  • Ensure high availability, scalability, and resilience of containerized platforms.
  • Implement and manage networking (CNI plugins, ingress controllers, service mesh) for cluster connectivity.
  • Manage container security, image scanning, and policy enforcement ( Kyverno).
  • Automate cluster provisioning, upgrades, and patching using tools like Terraform, Ansible, or Helm.
  • Integrate observability tools (Prometheus, Grafana,Datadog) for monitoring and alerting.
  • Troubleshoot node, pod, networking, and storage issues to ensure reliable application performance.
  • Optimize resource usage (requests/limits, HPA, VPA) and cluster cost efficiency.
  • Support CI/CD integration with Kubernetes (GitOps tools like ArgoCD)
  • Collaborate with security, cloud foundation, and developer teams to provide a robust container platform.

Required Skills

  • Deep knowledge of Kubernetes internals (control plane, scheduling, networking, storage).
  • Experience with containerization (Docker) and container runtime interfaces .
  • Strong skills in Infrastructure as Code (Terraform, Helm, Ansible).
  • Proficiency with Linux system administration and troubleshooting.
  • Hands-on with CNCF ecosystem tools (ArgoCD, Prometheus, Grafana).
  • Familiarity with cloud-managed Kubernetes services (EKS)
  • Good understanding of RBAC, IAM, TLS, and Kubernetes security hardening practices.
  • Knowledge of logging and monitoring stacks (EFK/ELK, Loki, Dynatrace, Datadog).
  • Strong troubleshooting skills (pods crashloop, node not ready, networking bottlenecks, storage issues).
  • Experience in scaling multi-cluster and multi-tenant Kubernetes environments.

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