On-Site
Contract
Mumbai, Maharashtra
India
About the Role
Position: Lead DevOps Engineer
Grade: Lead/Senior Level
Experience: 6-7 Years
Location: Mumbai
Employment Type:Contract
Open Positions: 1
🚀 Job Overview
We are seeking an experienced Lead DevOps Engineer with deep expertise in Kubernetes infrastructure design and implementation. This role requires an individual who can architect, build, and manage enterprise-grade Kubernetes clusters from the ground up. The position offers an exciting opportunity to lead infrastructure modernization initiatives and work with cutting-edge cloud-native technologies.
Initial Setup Phase: First 2-3 months will be based in Mumbai for project initiation and stakeholder alignment, followed by relocation to our Bangalore CoffeeBeans office for ongoing operations.
🎯 Key Responsibilities
Infrastructure Design & Implementation
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 practices
Implement Infrastructure as Code using Terraform, Helm charts, and GitOps methodologies
Set up monitoring, logging, and observability solutions for Kubernetes workloads
Design disaster recovery and backup strategies for containerized applications
Leadership & Team Management
Lead a team of 3-4 DevOps engineers and provide technical mentorship
Drive best practices for containerization, orchestration, and cloud-native development
Collaborate with development teams to optimize application deployment strategies
Conduct technical reviews and ensure code quality standards across infrastructure components
Facilitate knowledge transfer and create comprehensive documentation
Operational Excellence
Manage CI/CD pipelines integrated with Kubernetes deployments
Implement security policies including RBAC, network policies, and container security scanning
Optimize cluster performance and resource utilization
Automate routine operations and reduce manual intervention
Ensure 99.9% uptime for production Kubernetes workloads
Strategic Planning
Define infrastructure roadmap aligned with business objectives
Evaluate and recommend new tools and technologies for container orchestration
Capacity planning and cost optimization for cloud infrastructure
Risk assessment and mitigation strategies for production environments
🛠 Must-Have Technical Skills
Core Kubernetes Expertise
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)
Infrastructure as Code
Terraform - Advanced proficiency for infrastructure provisioning
Helm - Creating and managing complex Helm charts
Ansible/Chef/Puppet - Configuration management experience
GitOps workflows - ArgoCD, Flux, or similar tools
Cloud Platforms
Multi-cloud experience with at least 2 major cloud providers:
AWS: EKS, EC2, VPC, IAM, CloudFormation
Azure: AKS, Virtual Networks, Azure Resource Manager
GCP: GKE, Compute Engine, VPC, Deployment Manager
CI/CD & DevOps Tools
Jenkins, GitLab CI, Azure DevOps, or GitHub Actions
Docker - Advanced containerization and optimization techniques
Container registries - Docker Hub, ECR, ACR, GCR management
Version control - Git workflows and branching strategies
Monitoring & Observability
Prometheus & Grafana - Metrics collection and visualization
ELK Stack / EFK - Centralized logging solutions
Jaeger/Zipkin - Distributed tracing implementation
AlertManager - Intelligent alerting and incident management
💡 Good-to-Have Skills
Advanced Technologies
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)
Security & Compliance
Container security tools (Twistlock, Aqua Security, Falco)
Policy management (Open Policy Agent, Gatekeeper)
Compliance frameworks (SOC 2, PCI-DSS, GDPR)
Certificate management (cert-manager, Let's Encrypt)
Programming & Scripting
Python/Go - For automation and tooling development
Shell scripting (Bash/PowerShell) - Advanced automation
YAML/JSON - Configuration management expertise
🎓 Required Qualifications
Education
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)
Experience
6-7 years of DevOps/Infrastructure engineering experience
4+ years of hands-on Kubernetes experience in production
2+ years in a lead/senior role managing infrastructure teams
Experience with large-scale distributed systems and microservices architecture
Grade: Lead/Senior Level
Experience: 6-7 Years
Location: Mumbai
Employment Type:Contract
Open Positions: 1
🚀 Job Overview
We are seeking an experienced Lead DevOps Engineer with deep expertise in Kubernetes infrastructure design and implementation. This role requires an individual who can architect, build, and manage enterprise-grade Kubernetes clusters from the ground up. The position offers an exciting opportunity to lead infrastructure modernization initiatives and work with cutting-edge cloud-native technologies.
Initial Setup Phase: First 2-3 months will be based in Mumbai for project initiation and stakeholder alignment, followed by relocation to our Bangalore CoffeeBeans office for ongoing operations.
🎯 Key Responsibilities
Infrastructure Design & Implementation
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 practices
Implement Infrastructure as Code using Terraform, Helm charts, and GitOps methodologies
Set up monitoring, logging, and observability solutions for Kubernetes workloads
Design disaster recovery and backup strategies for containerized applications
Leadership & Team Management
Lead a team of 3-4 DevOps engineers and provide technical mentorship
Drive best practices for containerization, orchestration, and cloud-native development
Collaborate with development teams to optimize application deployment strategies
Conduct technical reviews and ensure code quality standards across infrastructure components
Facilitate knowledge transfer and create comprehensive documentation
Operational Excellence
Manage CI/CD pipelines integrated with Kubernetes deployments
Implement security policies including RBAC, network policies, and container security scanning
Optimize cluster performance and resource utilization
Automate routine operations and reduce manual intervention
Ensure 99.9% uptime for production Kubernetes workloads
Strategic Planning
Define infrastructure roadmap aligned with business objectives
Evaluate and recommend new tools and technologies for container orchestration
Capacity planning and cost optimization for cloud infrastructure
Risk assessment and mitigation strategies for production environments
🛠 Must-Have Technical Skills
Core Kubernetes Expertise
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)
Infrastructure as Code
Terraform - Advanced proficiency for infrastructure provisioning
Helm - Creating and managing complex Helm charts
Ansible/Chef/Puppet - Configuration management experience
GitOps workflows - ArgoCD, Flux, or similar tools
Cloud Platforms
Multi-cloud experience with at least 2 major cloud providers:
AWS: EKS, EC2, VPC, IAM, CloudFormation
Azure: AKS, Virtual Networks, Azure Resource Manager
GCP: GKE, Compute Engine, VPC, Deployment Manager
CI/CD & DevOps Tools
Jenkins, GitLab CI, Azure DevOps, or GitHub Actions
Docker - Advanced containerization and optimization techniques
Container registries - Docker Hub, ECR, ACR, GCR management
Version control - Git workflows and branching strategies
Monitoring & Observability
Prometheus & Grafana - Metrics collection and visualization
ELK Stack / EFK - Centralized logging solutions
Jaeger/Zipkin - Distributed tracing implementation
AlertManager - Intelligent alerting and incident management
💡 Good-to-Have Skills
Advanced Technologies
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)
Security & Compliance
Container security tools (Twistlock, Aqua Security, Falco)
Policy management (Open Policy Agent, Gatekeeper)
Compliance frameworks (SOC 2, PCI-DSS, GDPR)
Certificate management (cert-manager, Let's Encrypt)
Programming & Scripting
Python/Go - For automation and tooling development
Shell scripting (Bash/PowerShell) - Advanced automation
YAML/JSON - Configuration management expertise
🎓 Required Qualifications
Education
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)
Experience
6-7 years of DevOps/Infrastructure engineering experience
4+ years of hands-on Kubernetes experience in production
2+ years in a lead/senior role managing infrastructure teams
Experience with large-scale distributed systems and microservices architecture