Jobin AJ
</h1>I build CI/CD pipelines that ship code without 3 AM alerts, orchestrate Kubernetes clusters that scale under pressure, and run AI models on GPU infrastructure that actually works in production.
DevOps engineering. One goal: deploy with confidence.
I work at the seam where development velocity meets system reliability — where a misconfigured pipeline becomes a production outage, where a missing security gate ships a vulnerability, where a well-orchestrated Kubernetes cluster runs hundreds of workloads without anyone noticing it's there.
My practice spans three connected domains. I design CI/CD pipelines and GitOps workflows that engineering teams actually trust — with security gates baked in, not bolted on. I manage Kubernetes infrastructure on AWS and GCP that scales under pressure without waking anyone at 3 AM. And I'm building in Go: tools, daemons, and the kind of services that run quietly for months.
More recently I've been pushing into AI platform engineering — deploying local LLMs on GPU infrastructure, wiring up inference APIs, and automating workflows with n8n. Infrastructure is infrastructure, whether it's running containers or models. If that sounds like your kind of hire — let's talk.
Things I've shipped.
Tools I actually reach for.
Kubernetes and Docker for orchestration. GitHub Actions for delivery. Terraform for infra. Prometheus and Grafana for observability. And a growing amount of Go for the tools that tie it all together.
Where I've been.
Verified credentials.
Got infra that needs building — or automating?
Open to senior DevOps / platform roles and short-term consulting engagements. I reply within 48 hours, usually less. Based in Bangalore — open to remote worldwide.