Senior Staff Site Reliability Engineer

About NVIDIA

Role Overview

What You’ll Be Doing

• Lead major incidents through triage, coordination, decisions, and executive communication across global time zones.
• Set technical direction for reliability, scalability, and developer-efficiency initiatives across multiple teams.
• Design and operate distributed, Kubernetes-based, and cloud-native infrastructure.
• Build incident detection, triage, communication, remediation, and self-healing automation.
• Improve observability, reduce alert noise, and drive root-cause analysis and systemic prevention.
• Apply LLMs, anomaly detection, and signal correlation to incident workflows and decision support.
• Champion AI-assisted engineering practices and partner across Cloud, Platform, Security, and AI/ML teams.
• Define SLOs and error budgets, influence architecture, mentor engineers, and raise standards through design and code review.

What We Need To See

• 10 or more years in Site Reliability Engineering, Production Engineering, Platform Engineering, or Incident Management with technical leadership at scale.
• Bachelor’s or master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• Incident Commander or major incident response experience in complex, high-availability environments.
• Deep knowledge of distributed systems, monitoring, reliability principles, SLIs, SLOs, error budgets, capacity planning, and graceful degradation.
• Strong proficiency in at least one programming language such as Python, Go, or Java.
• Hands-on experience with public cloud platforms, Docker, Kubernetes, infrastructure-as-code, and CI/CD.
• Strong Linux or Unix, networking, observability, relational database, SQL, indexing, and query optimization knowledge.
• Experience or familiarity with AI/ML concepts applied to operational workflows.
• Excellent written and verbal communication skills for executive briefings and senior stakeholder influence.

Ways To Stand Out

• Experience building incident management or automation platforms using ChatOps, workflow orchestration, alert intelligence, or AI.
• A demonstrable record of reducing mean time to detection or mean time to recovery with measurable results.