Senior DevOps Engineer

We are seeking an experienced Lead DevOps Engineer with deep expertise in Kubernetes infrastructure design and implementation . This role requires someone who can architect, build, and manage enterprise-grade Kubernetes clusters from the ground up . You?ll lead modernization initiatives, shape infrastructure strategy, and work with cutting-edge cloud-native technologies. ?? Key Responsibilities Infrastructure Design & Implementation Architect and design enterprise-grade Kubernetes clusters across AWS, Azure, and GCP. Build production-ready Kubernetes infrastructure with HA, scalability, and security best practices. Implement Infrastructure as Code with Terraform, Helm, and GitOps workflows. Set up monitoring, logging, and observability for Kubernetes workloads. Design and execute backup and disaster recovery strategies for containerized applications. Leadership & Team Management Lead a team of 3?4 DevOps engineers, providing technical mentorship. Drive best practices in containerization, orchestration, and cloud-native development. Collaborate with development teams to optimize deployment strategies. Conduct code reviews and maintain infrastructure quality standards. Build knowledge-sharing culture with documentation and training. Operational Excellence Manage and scale CI/CD pipelines integrated with Kubernetes. Implement security policies (RBAC, network policies, container scanning). Optimize cluster performance and cost-efficiency. Automate operations to minimize manual interventions. Ensure 99.9% uptime for production workloads. Strategic Planning Define the infrastructure roadmap aligned with business needs. Evaluate and adopt new cloud-native technologies. Perform capacity planning and cloud cost optimization. Drive risk assessment and mitigation strategies. ?? Must-Have Technical Skills Kubernetes Expertise 6+ years of hands-on Kubernetes experience in production. Deep knowledge of Kubernetes architecture (etcd, API server, scheduler, kubelet). Advanced Kubernetes networking (CNI, Ingress, Service mesh). Strong grasp of Kubernetes storage (CSI, PVs, StorageClasses). Experience with Operators and Custom Resource Definitions (CRDs). Infrastructure as Code Terraform (advanced proficiency). Helm (developing and managing complex charts). Config management tools (Ansible, Chef, Puppet). GitOps workflows (ArgoCD, Flux). Cloud Platforms Hands-on experience with at least 2 of the following: AWS: EKS, EC2, VPC, IAM, CloudFormation Azure: AKS, VNets, ARM templates GCP: GKE, Compute Engine, Deployment Manager CI/CD & DevOps Tools Jenkins, GitLab CI, GitHub Actions, Azure DevOps Docker (advanced optimization and security practices) Container registries (ECR, ACR, GCR, Docker Hub) Strong Git workflows and branching strategies Monitoring & Observability Prometheus & Grafana (metrics and dashboards) ELK/EFK stack (centralized logging) Jaeger/Zipkin (tracing) AlertManager (intelligent alerting) ?? Good-to-Have Skills Service Mesh (Istio, Linkerd, Consul) Serverless (Knative, OpenFaaS, AWS Lambda) Running databases in Kubernetes (Postgres, MongoDB operators) ML pipelines (Kubeflow, MLflow) Security tools (Aqua, Twistlock, Falco, OPA) Compliance (SOC2, PCI-DSS, GDPR) Python/Go for automation Advanced Shell scripting (Bash/PowerShell) ?? Qualifications Bachelor?s in Computer Science, Engineering, or related field. Certifications (preferred): Certified Kubernetes Administrator (CKA) Certified Kubernetes Application Developer (CKAD) Cloud provider certifications (AWS/Azure/GCP). Experience 6?7 years of DevOps/Infrastructure engineering. 4+ years of Kubernetes in production. 2+ years in a lead role managing teams. Experience with large-scale distributed systems and microservices. Skills:- DevOps, Kubernetes, Amazon Web Services (AWS), Windows Azure and Google Cloud Platform (GCP)