Key Responsibilities

• Kubernetes Cluster Management & Design:

  • Lead the design, deployment, and ongoing maintenance of highly available and scalable Kubernetes clusters in both cloud (e.g., AWS, GCP, Azure) and/or on-premises environments.

  • Develop, manage, and optimize Helm charts, Kubernetes manifests, and automation scripts to support the efficient deployment and operation of microservices architectures.

• Performance & Optimization:

  • Continuously monitor, analyze, and optimize cluster performance, scalability, and availability to ensure peak operational efficiency.

  • Conduct capacity planning and resource management to support evolving application needs.

• CI/CD & Automation:

  • Implement, maintain, and enhance robust CI/CD pipelines utilizing industry-leading tools such as Jenkins, GitLab CI, ArgoCD, or Tekton, driving automation from code commit to production deployment.

  • Collaborate closely with development teams to containerize applications effectively and ensure smooth, automated deployments.

  • Manage and automate core infrastructure components to improve reliability and reduce manual effort.

• Security & Best Practices:

  • Implement and enforce stringent security best practices within container environments, including RBAC (Role-Based Access Control), secrets management, network policies, and vulnerability scanning.

  • Champion DevSecOps principles throughout the container lifecycle.

• Troubleshooting & Observability:

  • Proactively troubleshoot complex production issues within Kubernetes environments and perform thorough root cause analysis to prevent recurrence.

  • Keep abreast of the latest advancements in the Kubernetes ecosystem (e.g., service mesh, ingress controllers, observability tools like Prometheus, Grafana, ELK stack, Jaeger/Zipkin) and advocate for their adoption where beneficial.

• Collaboration & Mentorship:

  • Collaborate effectively with cross-functional teams, including developers, QA, and security, to foster a culture of shared responsibility and operational excellence.

  • Provide technical guidance and mentorship to junior team members on Kubernetes and containerization best practices.

Required Skills and Experience

• Overall Experience: 7+ years of progressive experience in DevOps, Site Reliability Engineering (SRE), Infrastructure Engineering, or similar roles.

• Kubernetes Production Experience: 3+ years of hands-on experience managing and operating Kubernetes clusters in production environments.

• Containerization Mastery: Strong expertise in Docker, containerization principles, and container orchestration concepts.

• Cloud Platforms: Proficiency with major cloud platforms and their managed Kubernetes services (e.g., AWS EKS, GCP GKE, Azure AKS).

• CI/CD & Automation: Demonstrated experience implementing and optimizing CI/CD pipelines and integrating automated testing frameworks.

• Networking Fundamentals: Deep understanding of core networking concepts, including load balancing, DNS, firewalls, and network policies within cloud-native and Kubernetes environments.

• DevSecOps & Security: Solid grasp of DevSecOps principles and proven experience in implementing security best practices and ensuring compliance within containerized infrastructure.

• Scripting & Automation: Strong scripting skills (e.g., Python, Bash, Go) for infrastructure automation and managing Kubernetes.

• Problem-Solving: Excellent troubleshooting, debugging, and root cause analysis skills for complex distributed systems.