Senior Staff Machine Learning Engineer - DevOps

Qualifications

• Expertise in Go or Python, OOP, Design Patterns, time and space-efficient algorithms
• Experience building new products that use challenging algorithms
• Expertise in coding efficient, object-oriented, modularized and quality software
• Knowledge of core AI/ML techniques and algorithms
• Knowledge of unit testing, profiling, and code tuning DevOps:
• Deploy, scale, and operate services in production Kubernetes environments, including Helm-based deployments and CI/CD pipelines that make releases repeatable and safe to roll back.
• Own observability for what you build — meaningful metrics, useful logs, real tracing, and alerts that fire on customer impact rather than on noise.
• Debug and resolve production incidents independently, participate in on-call, run root-cause analysis, and operate against defined service level objectives.
• Confident use of AI coding assistants such as GitHub Copilot or Cursor, paired with the critical eye to review AI-generated code as rigorously as any other — catching logic errors, security anti-patterns, and missed edge cases rather than treating model output as production-ready.
• AI-assisted debugging and trace analysis, and a clear understanding of the data privacy rules governing what goes into a prompt.
• 8+ years of Backend software engineering experience
• 4+ years of designing and operating distributed systems
• 3+ years of Kubernetes in production, including Helm and CI/CD