Lead DevOps Engineer (AI & GPU)

📋 Description

• Own DevOps and delivery for AI workloads: build and operate the CI/CD/CV pipelines that ship AI
• Own governance and discovery for AI assets, including service catalog/registry (Artifactory/Nexus
• Own resource and cost management, including quotas and rate limits, cost attribution and
• Own the full observability stack, including metrics (Prometheus/Mimir), logs (Loki), traces
• Own the OpenTelemetry collection layer, including multi-tenant receiver, exporters and queues
• Automate GitOps-based delivery and continuous verification; embedding quality, integrity, and cost

🎯 Requirements

• Strong DevOps expertise: CI/CD/CV pipeline design, GitOps, continuous verification, and
• Deep expertise operating model-serving and inference systems (Ray, vLLM/Triton/NIM) on GPUs at
• Deep observability skills: metrics, logs, traces, and OpenTelemetry.
• FinOps mindset: able to attribute, bound, and optimize AI consumption cost per tenant and workload.
• Familiarity with model/artifact governance, registries, CVE scanning, and license/lineage tracking.
• Comfortable operating across cloud, on-prem, edge, and air-gapped environments with consistent