Posted:4 hours ago|
Platform:
On-site
Full Time
Founded in the year 2017, CoffeeBeans specializes in offering high end consulting services in technology, product, and processes. We help our clients attain significant improvement in quality of delivery through impactful product launches, process simplification, and help build competencies that drive business outcomes across industries. The company uses new-age technologies to help its clients build superior products and realize better customer value. We also offer data-driven solutions and AI-based products for businesses operating in a wide range of product categories and service domains
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:
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
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
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
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
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 charts
Ansible/Chef/Puppet - Configuration management experience
GitOps workflows - ArgoCD, Flux, or similar tools
AWS: EKS, EC2, VPC, IAM, CloudFormation
Azure: AKS, Virtual Networks, Azure Resource Manager
GCP: GKE, Compute Engine, VPC, Deployment Manager
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
Prometheus & Grafana - Metrics collection and visualization
ELK Stack / EFK - Centralized logging solutions
Jaeger/Zipkin - Distributed tracing implementation
AlertManager - 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)
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)
Python/Go - For automation and tooling development
Shell scripting (Bash/PowerShell) - Advanced automation
YAML/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 production
2+ years in a lead/senior role managing infrastructure teams
Experience with large-scale distributed systems and microservices architecture
CoffeeBeans
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