Lead Kubernetes Platform Engineer

Role- Lead Kubernetes Platform Engineer

Year Of experience- 10+ Years

Location- Pune, Hyderabad, Bangalore

Required Skill set- GKE, Kubernetes, Helm, Operators/CRDs, RBAC, Workload Identity, Argo CD

Required Skills & Experience

Must Have

• 8-15 years of technology experience, with substantial recent hands-on responsibility for enterprise Kubernetes platforms.
• Strong hands-on experience designing, deploying, upgrading, troubleshooting, and operating Google Kubernetes Engine (GKE).
• Deep knowledge of Kubernetes architecture, controllers, operators, CRDs, RBAC, service accounts, networking, storage, scheduling, autoscaling, and workload isolation.
• Hands-on experience with Helm, OCI containers, Artifact Registry, Terraform, CI/CD, and GitOps-based deployment practices.
• Experience operating stateful, distributed, or data-intensive workloads on GKE.
• Practical experience enabling Apache Spark on GKE and working knowledge of Kafka, Flink, Airflow, Iceberg, and Cloud Storage integration.
• Strong knowledge of Cloud IAM and GKE Workload Identity Federation.
• Experience with ingress, Cloud DNS, TLS certificates, load balancers, network policies, persistent storage, and Secret Manager integration.
• Ability to diagnose cross-layer issues spanning GCP infrastructure, GKE, data runtimes, networking, identity, storage, and automation.
• Strong technical leadership, documentation, mentoring, and stakeholder communication skills.

Good to Have

• Experience with Strimzi, Spark Operator, Flink Kubernetes Operator, KubernetesExecutor, or comparable operator-driven deployments.
• Exposure to Apache Polaris, Project Nessie, Trino, OpenMetadata, JupyterHub, or other modern lakehouse platform services.
• Experience with policy engines such as Kyverno or Open Policy Agent/Gatekeeper and with enterprise secrets platforms such as Vault.
• Experience supporting hybrid, sovereign, disconnected, restricted, or regulated GCP environments.
• Understanding of SRE practices, capacity planning, performance engineering, disaster recovery, and platform cost optimization.