DevOps Engineer

Run, monitor, and harden live cloud infrastructure across production environments –  Own CI/CD pipelines — build, maintain, and improve them for reliability and speed –  Lead incident response with clarity, speed, and a calm head under pressure –  Drive observability — alerting, dashboards, SLOs, and proactive system health –  Work side by side with engineers to keep systems stable and deployments safe –  Document shifts, handoffs, and incidents so the day team inherits clarity, not chaos WHAT WE EXPECT: Ownership — You don't escalate problems — you solve them. Accountability — Production is yours during your shift. No excuses. Logical Thinking — You break down problems fast and act with clarity. Independence — You don't need supervision. You need responsibility. Calm Under Pressure — When systems fail, you don't panic. You execute. Communication — Async-first. Shift logs are thorough. Handoffs leave no surprises. WHAT YOU BRING: Technical Requirements –  2–5 years in DevOps, SRE, or Infrastructure engineering –  Strong hands-on experience with Azure — VNets, NSGs, App Services, ACI, private endpoints, Cost Management –  Deep ownership of CI/CD pipelines using GitHub Actions, Jenkins, or equivalent –  Production-grade Terraform — state management, modules, drift handling, remote backends –  Real experience with monitoring and alerting — Prometheus, Grafana, Datadog, Azure Monitor, or ELK –  Scripting fluency in Python, Bash, or PowerShell — not tutorials, real production scripts –  Docker in production — image optimization, multi-stage builds, container debugging –  Strong debugging instincts across infrastructure and application layers Strong Advantage If You Have –  Kubernetes production experience — deployments, HPA, CrashLoopBackOff, real incidents –  Built a monitoring stack from scratch and designed alerting philosophy around it –  Managed real production incidents end-to-end, with post-mortems to show for it –  Worked night shifts or PST-offset roles with structured async handoffs –  Thrived in fast-paced startup or scale-up environments