1500000 - 2500000 INR - Yearly
Bangalore, Karnataka, India
Information Technology
Full-Time
CoffeeBeans
Overview
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
Kubernetes Expertise
🚀 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.
- 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.
- 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.
- 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.
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).
- Terraform (advanced proficiency).
- Helm (developing and managing complex charts).
- Config management tools (Ansible, Chef, Puppet).
- GitOps workflows (ArgoCD, Flux).
- 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
- 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
- Prometheus & Grafana (metrics and dashboards)
- ELK/EFK stack (centralized logging)
- Jaeger/Zipkin (tracing)
- AlertManager (intelligent alerting)
- 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)
- 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).
- 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.
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