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.

Key Responsibilities:

• 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.
  
  

• Advanced Kubernetes orchestration with Helm and ArgoCD GitOps.
• Docker containerization expertise.
• Microservices architecture and deployment experience.
• Terraform for infrastructure automation, Git version control workflows.
• Bash scripting proficiency; Python/Go programming considered a strong advantage.
• CI/CD pipeline implementation with Azure DevOps or GitHub Actions.
• Basic networking knowledge: L3/L4 routing/firewalls, TCP/UDP/HTTP protocols, DNS.
  
  

• 3+ years professional DevOps experience with production deployments.
• Proven ability to support QA and development teams collaboratively.
• Experience working closely with SRE teams on system reliability and incident management.
• Strong problem-solving skills for troubleshooting complex infrastructure issues.
• Familiarity with Agile/DevOps methodologies.
• Degree in Computer Science or equivalent experience preferred.
  
  

• Grafana stack for observability (Prometheus, Loki, Tempo), Azure Monitor, or similar tooling.
• MongoDB familiarity (advantage); general SQL/NoSQL database experience.