Architect - Platform Kubernetes

Job Summary:

We are seeking a highly skilled Kubernetes Subject Matter Expert (SME) to join our team. The ideal candidate will have 10+ years of industry experience, with 4+ years of expertise in Kubernetes and DevSecOps. The role requires hands-on experience with multi-cloud environments, preferably Azure and AWS. The candidate must hold Certified Kubernetes Administrator (CKA) or Certified Kubernetes Security Specialist (CKS) certifications and have a strong track record of implementing Kubernetes at scale for large production environments.

Key Responsibilities:

Design, deploy, and optimize Kubernetes-based platforms for large-scale production workloads.

Implement DevSecOps best practices to enhance the security and reliability of Kubernetes clusters.

Manage Kubernetes environments across multi-cloud platforms (Azure, AWS) with a focus on resilience and high availability.

Provide technical leadership in architecting, scaling, and troubleshooting Kubernetes ecosystems.

Develop automation strategies using Infrastructure-as-Code (IaC) tools such as Terraform, Helm, and Ansible.

Work with security teams to ensure compliance with industry security standards and best practices.

Define and implement observability and monitoring using tools like Prometheus, Grafana, and ELK Stack.

Lead incident response and root cause analysis for Kubernetes-related production issues.

Guide and mentor engineering teams on Kubernetes, service mesh, and container security.

Required Qualifications:

10+ years of industry experience in cloud infrastructure, container orchestration, and DevSecOps.

4+ years of hands-on experience with Kubernetes in production environments.

Strong knowledge of Kubernetes security, RBAC, Network Policies, and admission controllers.

Experience in multi-cloud environments (Azure, AWS preferred).

Hands-on experience with Istio or other service meshes.

Expertise in containerization technologies like Docker.

Proficiency with CI/CD pipelines (GitOps, ArgoCD, Jenkins, Azure DevOps, or similar).

Experience with Kubernetes storage and networking in enterprise ecosystems.

Deep understanding of Kubernetes upgrade strategies, scaling, and optimization.

Must have CKA or CKS certification.

Preferred Qualifications:

Experience with edge computing and Kubernetes at the edge.

Familiarity with AI/ML workloads on Kubernetes.

Hands-on experience with policy governance frameworks like OPA/Gatekeeper.

Knowledge of serverless and event-driven architectures in Kubernetes.

Strong scripting skills in Python, Go, or Bash.