Key Responsibilities:

• Maintain, scale, and harden on-premise Kubernetes clusters (self-hosted, not managed cloud) for high availability and disaster recovery
• Design, implement, and manage Infrastructure as Code (IaC) for on-premise environments using Ansible and other automation tools
• Build, optimize, and monitor Azure DevOps pipelines for CI/CD of containerized applications and infrastructure changes
• Support and extend Azure-based infrastructure components integrated with on-prem workloads
• Implement and maintain observability stack: Prometheus, Grafana, Kafka (for log/metric streaming), and database monitoring (PostgreSQL, MongoDB)
• Package and deploy applications using Helm, ensuring standardized, repeatable releases
• Write and maintain Bash and Python scripts for automation, troubleshooting, and tooling
• Collaborate with development, security, and operations teams to ensure platform reliability, compliance, and performance
• Document architecture, processes, and runbooks for knowledge sharing.
  
  

We'd love to hear from you if you have:

• 5+ years of hands-on experience as a DevOps Engineer in enterprise environments
• Proven expertise in on-premise Kubernetes deployment and management (not AKS/EKS/GKE)
• Strong proficiency with Ansible for configuration management and automation
• Extensive experience with Azure DevOps for CI/CD pipeline design and maintenance
• Solid experience with Helm for Kubernetes application packaging
• Hands-on experience with Prometheus, Grafana, and Kafka for monitoring and event streaming
• Experience managing and monitoring PostgreSQL and MongoDB in production
• Proficient in Bash and Python scripting for automation and tooling
• English B2 level or higher — able to communicate clearly with global teams and stakeholders
• Demonstrated ability to collaborate with a team and a client.
  
  

Nice-to-Have Skills:

• Experience with Argo CD for GitOps-based deployment
• Familiarity with Jaeger or OpenTelemetry for distributed tracing
• Exposure to Istio for service mesh implementation
• Experience with ELK Stack (Elasticsearch, Logstash/Filebeat, Kibana) for centralized logging
• Knowledge of HashiCorp Vault for secrets management and dynamic credentials.