Senior Manager, Site Reliability Engineering

About the role

NVIDIA is seeking a Senior Manager of Site Reliability Engineering to lead and reshape how IT operations function at scale. This role goes beyond traditional service management to build AI-powered systems that enhance reliability, speed, and employee experience.

Responsibilities

• Manage the full lifecycle of Incident, Problem, and CM as a 24×7 operational function, ensuring high reliability and minimal business disruption.
• Transform incident response by bringing to bear AI detection, correlation, and guided remediation, reducing time to detect, respond, and resolve.
• Evolve Problem Management into a data-driven field, using AI and analytics to identify patterns, eliminate recurring issues, and drive systemic fixes.
• Modernize CM by introducing risk-aware, data-driven decisioning, improving change success rates, and reducing blast radius.
• Drive the adoption of observability as a foundation, ensuring service-level visibility, signal quality, and actionable insights across the IT ecosystem.
• Lead the development of automation and orchestration platforms that reduce manual effort across the outage lifecycle, including detection, triage, communication, and RCA.
• Partner closely with engineering, infrastructure, and business teams to align operations with service reliability goals and SLOs.

Requirements

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience).
• 5+ years of experience leading and managing global IT operations or service management teams, with growing scope and complexity.
• 12+ overall years of experience in Site Reliability Engineering, IT Service Management, with a focus on Incident Management, Problem Management, and Configuration Management.
• Proven proficiency in Incident, Problem, and CM with a consistent record of delivering measurable gains in reliability and efficiency.
• Demonstrated experience applying AI, automation, or advanced analytics to improve operational outcomes.
• Solid understanding of observability, monitoring ecosystems, and modern reliability practices (SRE principles, SLOs, error budgets).
• Demonstrated ability to move organizations from process-heavy to technology-focused operating models.
• Strong leadership capability with experience building and scaling engineering-focused teams (SRE, SWE, or equivalent).
• Ability to deliver executive-level communication and insights, translating operational signals into clear, actionable narratives for leadership.
• Ability to build and lead a high-performing team of SREs and engineers, encouraging a culture of ownership, innovation, and continuous improvement.

Qualifications

• ITIL knowledge and/or certification.
• Experience building or scaling AI-powered operational platforms.
• Ability to challenge traditional ITSM models and introduce innovative, scalable approaches.
• A mentality passionate about automation first, prevention over reaction, and systems over process.

Skills

• Leadership skills.
• Technical expertise in SRE, IT Service Management, and related fields.
• Experience with AI, automation, and advanced analytics.
• Understanding of observability, monitoring, and modern reliability practices.

Benefits

• Outstanding opportunity to lead and refine Incident, Problem, and CM into an intelligent, automated operating model.
• Move from reactive processes to predictive and autonomous operations.
• Opportunity to lead and refine Incident, Problem, and CM into an intelligent, automated operating model.

Pay

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD.

Schedule

Not specified.

Application Instructions

Applications for this job will be accepted at least until April 17, 2026.