Posted:-1 days ago|
Platform:
Work from Office
Full Time
Position: Senior DevOps Engineer
Experience: 6-10 YearsLocation: HyderabadEmployment Type: Full-time
Design and architect enterprise-grade Kubernetes clusters across multi-cloud environments (AWS/Azure/GCP)
Build production-ready Kubernetes infrastructure with high availability, scalability, and security best practicesImplement Infrastructure as Code using Terraform, Helm charts, and GitOps methodologiesSet up monitoring, logging, and observability solutions for Kubernetes workloadsDesign disaster recovery and backup strategies for containerized applications
Lead a team of 3-4 DevOps engineers and provide technical mentorship
Drive best practices for containerization, orchestration, and cloud-native developmentCollaborate with development teams to optimize application deployment strategiesConduct technical reviews and ensure code quality standards across infrastructure componentsFacilitate knowledge transfer and create comprehensive documentation
Manage CI/CD pipelines integrated with Kubernetes deployments
Implement security policies including RBAC, network policies, and container security scanningOptimize cluster performance and resource utilizationAutomate routine operations and reduce manual interventionEnsure 99.9% uptime for production Kubernetes workloads
Define infrastructure roadmap aligned with business objectives
Evaluate and recommend new tools and technologies for container orchestrationCapacity planning and cost optimization for cloud infrastructureRisk assessment and mitigation strategies for production environments
6+ years of hands-on experience with Kubernetes in production environments
Deep understanding of Kubernetes architecture, components (etcd, API server, scheduler, kubelet)Expertise in Kubernetes networking (CNI, Ingress controllers, Service mesh)Advanced knowledge of Kubernetes storage (CSI, Persistent Volumes, StorageClasses)Experience with Kubernetes operators and custom resource definitions (CRDs)
Terraform - Advanced proficiency for infrastructure provisioning
Helm - Creating and managing complex Helm chartsAnsible/Chef/Puppet - Configuration management experienceGitOps workflows - ArgoCD, Flux, or similar tools
AWS: EKS, EC2, VPC, IAM, CloudFormation
Azure: AKS, Virtual Networks, Azure Resource ManagerGCP: GKE, Compute Engine, VPC, Deployment Manager
Jenkins, GitLab CI, Azure DevOps, or GitHub Actions
Docker - Advanced containerization and optimization techniquesContainer registries - Docker Hub, ECR, ACR, GCR managementVersion control - Git workflows and branching strategies
Prometheus & Grafana - Metrics collection and visualization
ELK Stack / EFK - Centralized logging solutionsJaeger/Zipkin - Distributed tracing implementationAlertManager - Intelligent alerting and incident management
Service Mesh experience (Istio, Linkerd, Consul Connect)
Serverless platforms (Knative, OpenFaaS, AWS Lambda)Database operations in Kubernetes (PostgreSQL, MongoDB operators)Machine Learning pipelines on Kubernetes (Kubeflow, MLflow)
Python/Go - For automation and tooling development
Shell scripting (Bash/PowerShell) - Advanced automationYAML/JSON - Configuration management expertise
Bachelor's degree in Computer Science, Engineering, or related technical field
Relevant certifications preferred:
Certified Kubernetes Administrator (CKA)
Certified Kubernetes Application Developer (CKAD)Cloud provider certifications (AWS/Azure/GCP)
6-7 years of DevOps/Infrastructure engineering experience
4+ years of hands-on Kubernetes experience in production2+ years in a lead/senior role managing infrastructure teamsExperience with large-scale distributed systems and microservices architecture
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