DevOps Engineer

We're seeking an experienced DevOps Engineer to design, automate, and maintain cloud-native infrastructure for scalable microservices deployments while working closely with the SRE team. This role requires 3+ years of hands-on cloud experience with strong Kubernetes expertise and GitOps practices to support development and QA teams across production and development environments.

• Provision and manage infrastructure using Terraform IaC across cloud platforms.
• Orchestrate advanced Kubernetes deployments with ArgoCD, Helm charts, and GitOps workflows.
• Build and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, or equivalents.
• Implement full observability stack with Grafana (Prometheus, Loki, Tempo), Azure Monitor, or equivalent tools for comprehensive metrics, logs, and tracing.
• Containerize microservices with Docker and deploy across multi-environment setups.
• Automate operations with Bash scripting; develop custom tools in Python/Go as needed.
• Manage databases including MongoDB; handle basic L3/L4 networking, protocols, and DNS.
• Collaborate closely with SRE team on reliability, incident response, and on-call rotations.
  
  

• Strong experience with Kubernetes (Helm, ArgoCD GitOps) and Docker.
• Hands-on experience with microservices architecture and deployments.
• Infrastructure as Code using Terraform; solid Git workflows.
• Proficiency in Bash scripting; Python or Go is a strong advantage.
• CI/CD pipeline implementation (Azure DevOps or GitHub Actions).
• Basic networking knowledge (TCP/IP, HTTP, DNS, routing/firewalls).
  
  

• 3+ years of DevOps experience in production environments.
• Proven ability to collaborate with development, QA, and SRE teams.
• Experience with system reliability, monitoring, and incident management.
• Strong troubleshooting and problem-solving skills.
• Familiarity with Agile/DevOps practices.
• BSc in Computer Science or equivalent – advantage
  
  

• Observability tools (Grafana stack: Prometheus, Loki, Tempo) or Azure Monitor.
• Experience with MongoDB or general SQL/NoSQL databases.