MODULE LEAD - Azure DevOps CI/CD pipeline

DevOps Engineer , Kubernetes Azure (AKS)

Experience Range 5 to 8 yrs

Role Summary

We are seeking a DevOps Engineer with strong expertise in Kubernetes, Docker, Helm, and Azure Kubernetes Service (AKS). The candidate will be responsible for deploying, managing, troubleshooting, and securing containerized microservices while ensuring high availability, scalability, and operational excellence across cloud-native environments.

Key Responsibilities

• Deploy, manage, and troubleshoot Kubernetes workloads on Azure AKS.
• Develop and maintain Helm charts for microservices deployment.
• Manage Docker images, container registries, and image lifecycle.
• Configure Kubernetes resources including Deployments, StatefulSets, Services, ConfigMaps, and Secrets.
• Monitor, debug, and optimize Kubernetes clusters and containerized applications.
• Implement Kubernetes security, RBAC, network policies, and pod security best practices.
• Support CI/CD deployments, scaling, backup, recovery, and release management.
• Collaborate with development teams to improve platform reliability and automation.

Must-Have Skills

• Strong experience with Kubernetes (Pods, Deployments, StatefulSets, Services, ConfigMaps, Secrets).
• Expertise in Docker, multi-stage builds, and image optimization.
• Experience with Azure Kubernetes Service (AKS) and Azure Container Registry (ACR).
• Hands-on experience with Helm chart development and deployment.
• Knowledge of:
  • Pod lifecycle management
  • Liveness Readiness probes
  • Service discovery and DNS
  • ConfigMap Secret injection
  • Pod debugging and log analysis
  • Resource requests limits
  • Pod affinity/anti-affinity
  • RBAC
  • Network Policies
  • CRDs
  • Admission Controllers
  • Pod Security
• Experience troubleshooting pod crashes, scaling, and performance issues.

Good-to-Have Skills

• Experience with monitoring tools such as Prometheus, Grafana, Azure Monitor, and Kibana.
• Knowledge of Microsoft Defender for Containers.
• Experience with Kubernetes dashboard tools such as Lens or K9s.
• Understanding of backup and disaster recovery strategies for StatefulSets.
• Experience working with cloud-native microservices architectures.

Educational Qualifications

• Bachelors Degree in Computer Science, Information Technology, Electronics, or related Engineering discipline.

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