Own CI/CD, IaC (Terraform), and release pipelines for AI/data services.
Manage cloud infra, networking, secrets, and access controls per security standards.
Build observability, alerting, and incident response into every platform service.
Partner with AI Infra and AI Eng to move code from commit to production.
Drive cost visibility and optimization across cloud and GPU spend with Finance.
Establish runbooks, on-call practices, and post-incident reviews for AI footprint.

🎯 Requirements

6+ years in DevOps/SRE/cloud platform engineering, AI/data workloads.
Strong Python (or Go) skills for automation and tooling.
Hands-on cloud experience across AWS, GCP, or Azure.
Kubernetes, Terraform, GitHub Actions/ArgoCD, and observability stacks (Datadog/Prometheus).
Experience with AI/ML workloads: GPUs, large model artifacts, long runs.
Advanced degree in CS/Engineering or equivalent.

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