Lead DevOps Engineer (AI & GPU)

About the role

As part of our fast-growing pace, we are seeking an AI Systems Engineer to own the delivery, model-serving, routing, and observability layer of AI-native platform. These are the systems that ship, run, and make fully visible every AI workload.

What you'll do

• Own DevOps and delivery for AI workloads: build and operate the CI/CD/CV pipelines that ship AI services, agents, and runtime components, including automated build
• Own governance and discovery for AI assets, including service catalog/registry (Artifactory/Nexus, Harbor), experiment tracking and model metadata (MLflow)
• Own resource and cost management, including quotas and rate limits, cost attribution and utilization (Apptio/OpenCost/Kubecost)
• Own the full observability stack, including metrics (Prometheus/Mimir), logs (Loki), traces (Tempo/Jaeger), dashboards (Grafana)
• Own the OpenTelemetry collection layer, including multi-tenant receiver, exporters and queues (Kafka sink), DCGM exporter for GPU telemetry, processor batching

What you need

• 8–14 yrs of experience
• CI/CD
• Prometheus
• Grafana
• Helm
• MLOps
• LLMs
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• Kafka