Azure Devops & Kubernetes Engineer

Role Overview

Schedule

• Work timing is scheduled in shifts from 1 pm to 11 pm and from 10 pm to 6 am.
• The role participates in a 24x7 support environment and on-call rotation.

Cluster Operations and Support

• Manage Azure AKS clusters, including daily operations, L2 incident and problem management, SLA-based resolution, and root cause analysis.
• Perform control plane and worker node upgrades with compatibility checks, rollback planning, and downtime minimization.
• Manage kube-apiserver, kube-scheduler, kube-controller-manager, and cloud-controller-manager components.
• Monitor, back up, restore, and troubleshoot etcd, including snapshots, defragmentation, quorum, and disaster recovery.
• Use kubectl for administration and troubleshooting, including logs, exec, apply, patch, rollout, drain, cordon, top, and debug operations.

Troubleshooting

• Resolve pod failures such as CrashLoopBackOff, ImagePullBackOff, OOMKilled, pending pods, scheduling failures, and probe failures.
• Diagnose DNS, service discovery, pod networking, service exposure, and network policy issues.
• Debug CNI issues involving Calico, Cilium, Flannel, Azure CNI, or AWS VPC CNI.
• Troubleshoot persistent storage, PV/PVC binding, StorageClass, CSI driver, volume mount, and StatefulSet persistence problems.
• Resolve ingress controller, TLS, routing, load balancing, disk pressure, memory pressure, kubelet, and autoscaler issues.

Security and Automation

• Manage RBAC, service accounts, network policies, pod security controls, secrets, external secret stores, image scanning, and Kubernetes CIS benchmark compliance.
• Contribute to cluster architecture, multi-tenancy, namespace strategy, resource quotas, limits, and capacity planning.
• Maintain Helm charts, Kustomize overlays, GitOps workflows, Infrastructure as Code, CI/CD integrations, and observability stacks.
• Manage service mesh configurations where applicable for traffic management, mTLS, and observability.
• Document runbooks, SOPs, architecture diagrams, and knowledge base articles.

Required Qualifications

• Bachelor's degree in computer science, information technology, or a related field, or equivalent experience.
• 4-9 years of hands-on experience in Kubernetes administration or engineering.
• Strong kubectl skills and knowledge of the Kubernetes object model.
• Deep troubleshooting experience across pods, networking, storage, and ingress.
• Strong understanding of Kubernetes control plane architecture and etcd operations.

Preferred Qualifications

• CKA or CKS certification is preferred.
• Platform design, service mesh, API gateway, managed Kubernetes, cost optimization, autoscaling, and chaos engineering experience are advantageous.
• Strong communication skills and the ability to work independently under SLA pressure are required.