Senior Software Engineer - AI Infrastructure Performance Insights & Observability

This role involves building performance insights and observability systems for AI infrastructure, focusing on GPU, interconnect, and distributed training telemetry. You will own detection and diagnosis of performance signals across data centers, turning raw telemetry into real-time insight for engineers and executives. Responsibilities include designing time-series infrastructure, building data lakes, and optimizing query performance.

5+ years building distributed systems, observability platforms, or performance engineering tooling. Strong coding in Python or Go. Hands-on Kubernetes at production scale, CI/CD, observability stacks (Prometheus, Grafana, OpenTelemetry). Working knowledge of time-series databases and PromQL/MetricsQL. Familiarity with data lake architectures (Iceberg, Parquet, Avro). Comfortable with GPU utilization, interconnect health, distributed training/inference. Strong communicator.