Senior Staff (DevOps) Machine Learning Engineer
Core
Lead the architecture, optimization, and operational excellence of an AI inference platform, owning the end-to-end lifecycle from model onboarding to production deployment on Kubernetes.
Role type
Senior Staff Machine Learning Engineer (DevOps)
Builds
AI inference engines, intelligent gateway layers, and production-grade distributed systems
Domain
Enterprise AI / Cloud Infrastructure
Deliverable
production ML models
Required skills
Go, Python, OOP, Design Patterns, distributed systems, Kubernetes, Helm, CI/CD, observability, LLM APIs, inference frameworks, GPU compute, Envoy, ext_proc
Preferred skills
AI coding assistants (GitHub Copilot, Cursor), AI-assisted debugging, data privacy rules
Technologies
Kubernetes, Helm, Envoy, CI/CD pipelines, GPU compute
Responsibilities
Architect intelligent gateway layers using Envoy and ext_proc; deploy, scale, and operate services in production Kubernetes environments; own observability with meaningful metrics, logs, and tracing; debug and resolve production incidents independently.
Seniority
Senior Staff, hands-on IC
