Description

You will manage and optimize Kubernetes operator-based applications and CRD-based deployments across cloud and on-prem environments.

Responsibilities

• Deploy and maintain Kubernetes operator-based applications and implement CRD-based deployments to drive automation.
• Configure workloads using pod topology spread constraints, node affinity, and scheduling policies to ensure high availability.
• Troubleshoot cluster deployments, operator installations, and rolling updates to maintain system reliability.
• Diagnose infrastructure and application issues using logs, metrics, and alerts to resolve customer tickets.
• Improve deployment efficiency by implementing automation, Infrastructure as Code (IaC), and CI/CD pipelines.

Required Skills

• 5+ years of experience with Kubernetes Operator expertise, including deployment and management.
• 3+ years of in-depth experience implementing and troubleshooting Custom Resource Definitions (CRDs).
• 3+ years of experience using Grafana and Prometheus for application monitoring and optimization.
• 2+ years of experience with Terraform or Helm for infrastructure automation.
• 2+ years of experience with Bash, Python, or Golang for scripting and automation.
• Experience configuring pod topology spread constraints and node affinity rules.
• Any Graduate degree.

Preferred Skills

• CKAD certification.
• Familiarity with incident response, disaster recovery planning, and container security best practices.
• Experience with log aggregation tools like ELK Stack.

Key Skills

Education

Any Graduate