About the job

Headline: DevOps Engineer (AI-Native Track)

Location: Remote, Bangalore & Hyderabad area — to reach a nearby office occasionally

Joining: Immediate

About the engagement

You will be working as part of the Nestingale delivery team: running CI/CD and cloud infrastructure for production systems, and growing into the engineer who builds and operates the infrastructure behind applied-AI — LLM/RAG and GenAI — workloads. Hands-on platform engineering that takes services from build to reliable production — and, over your first year, from conventional DevOps to AI-native. Not research, not advisory.

What you’ll do

- Build and run CI/CD pipelines and cloud infrastructure end to end (IaC, containers, deploys, monitoring)
- Keep production healthy — reliability, latency, cost, security, incident response
- Stand up the infra behind AI workloads — model serving, inference pipelines, GPU provisioning, evals and observability
- Partner with product/eng to automate operations, increasingly with AI agents and copilots

Who you are





- 3–5 years hands-on in DevOps, SRE, platform, or cloud engineering
- Real IaC (Terraform or equivalent) and a major cloud (GCP/AWS/Azure) — not just clicking consoles
- Hands-on with Docker + Kubernetes and CI/CD; scripting in Python, Go, or Bash
- Think in systems, latency, and cost; enjoy debugging why something is slow, flaky, or expensive — and genuinely want to grow into AI-native work

Must have

Demonstrated production experience — you’ve built and operated infrastructure real users depend on and can walk us through it in detail — with robust IaC, containers, and CI/CD, and a real appetite for AI-native engineering (MLOps/LLMOps, agentic automation, AI cost & governance).

Technical stack

- Terraform, Docker, Kubernetes · CI/CD (GitHub Actions / GitLab CI) · cloud (GCP/AWS), Git · Python/Go/Bash · nice to have: MLOps/LLMOps (Vertex AI, MLflow, LangChain, vector DBs), GPU infra, FinOps

📌 DevOps Engineer (India)
🏢 Nestingale
📍 India