Company:
Hashone Careers
Website:
Visit Website
Business Type:
Startup
Company Type:
Product
Business Model:
B2B
Funding Stage:
Pre-seed
Salary Range:
₹ 10-28 Lacs PA
🚀 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 ResponsibilitiesInfrastructure 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 practicesImplement 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 SkillsCore 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 tool
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 SkillsAdvanced 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
