Software Development Engineer - ML Ops (US Federal)

Design and deliver scalable features for a Machine Learning Runtime platform that powers production ML capabilities. Build and operate distributed systems and developer tooling using Kubernetes, Docker, and Python, and work with public clouds (AWS, GCP) with capacity management. Develop end-to-end features including infrastructure as code, prototype new ML tools, and ensure reliable deployment, monitoring, and orchestration for ML inference applications while partnering across ML and software teams.