We are looking for an experienced Azure Devops & Kubernetes Engineer to manage, troubleshoot, and optimize our container orchestration platform. The ideal candidate will handle day-to-day cluster operations, deep-dive troubleshooting, and platform reliability tasks while working closely with L1 support and L3/Platform Architects to ensure highly available, secure, and performant Kubernetes environments.

Experience: 5-9 Years
Location: Chennai
Work Timing: 1 pm - 11 pm & 10 pm - 6 am

Key Responsibilities
Cluster Operations & Support
Manage and support Kubernetes clusters (on Azure AKS) including day-to-day operations, incident and problem management (L2 escalations from L1), and RCA within defined SLAs.
Perform cluster upgrades (control plane and worker nodes) including version planning, compatibility checks, rollback strategy, and minimizing downtime during upgrades.
Manage Control Plane components — kube-apiserver, kube-scheduler, kube-controller-manager, cloud-controller-manager — including health checks, HA configuration, and troubleshooting component failures.
Monitor,



backup, restore, and troubleshoot etcd (cluster state store), including snapshotting, defragmentation, quorum issues, and disaster recovery.
Perform hands-on operations using kubectl — get/describe/logs/exec/apply/patch/rollout/drain/cordon/top/debug — for day-to-day administration and troubleshooting.
Troubleshooting
Troubleshoot Pod-level issues: CrashLoopBackOff, ImagePullBackOff, OOMKilled, pending pods, failed scheduling, readiness/liveness probe failures, and node pressure conditions.
Diagnose and resolve Networking issues: DNS resolution (CoreDNS), service discovery, pod-to-pod communication, service ClusterIP/NodePort/LoadBalancer issues, and network policy conflicts.
Debug CNI (Container Network Interface) issues — Calico, Cilium, Flannel, Azure CNI, or AWS VPC CNI — including IP exhaustion, plugin failures, and overlay/underlay network issues.
Troubleshoot Storage issues: PV/PVC bindin

📌 Azure Devops (Chennai)
🏢 Neurealm
📍 Chennai