Senior Staff Site Reliability Engineer

• 10+ years of experience in Site Reliability Engineering, Production Engineering, Platform Engineering, or Incident Management roles, with a track record of technical leadership at scale.
• BS or MS degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
• Proven experience acting as an Incident Commander or leading major incident response in complex, high-availability environments.
• Deep understanding of distributed systems, monitoring, and reliability engineering principles — SLIs/SLOs, error budgets, capacity planning, and graceful degradation.
• Strong proficiency in at least one programming language (e.g., Python, Go, Java ) to build production-grade automation and tooling.
• Hands-on expertise with public cloud platforms (AWS, Azure, or GCP) and container technologies such as Docker and Kubernetes.
• Solid experience with infrastructure-as-code tooling (e.g., Terraform, AWS CDK, CloudFormation) and CI/CD pipelines.
• Strong Linux/Unix and networking fundamentals, plus expertise in observability tooling such as OpenTelemetry, Prometheus, and Grafana.
• Working knowledge of relational databases (e.g., PostgreSQL, MySQL) — SQL, indexing, and query optimisation.
• Experience or familiarity with AI/ML concepts (e.g., LLMs, anomaly detection, or data-driven operations) applied to operational workflows.
• Excellent written and verbal communication skills, with the ability to brief executives during high-pressure incidents and influence senior technical stakeholders.

• Building & applying AI to operations: Hands-on experience building incident management or automation platforms (ChatOps, workflow orchestration, alert intelligence) and applying AI to operations — intelligent triage, RCA generation, and signal correlation — with a demonstrable track record of reducing MTTD and MTTR, backed by numbers.
• Scaling reliability across distributed teams: Proven ability to balance real-time incident leadership with scalable, long-term reliability solutions, including scaling a follow-the-sun model and operating AI/ML training and inference infrastructure at scale across multi-region teams.
• Ownership & community impact: A strong sense of ownership, curiosity, and initiative — turning challenges into durable engineering solutions and diving into unfamiliar systems — along with contributions to open-source infrastructure/observability projects, conference talks, or active participation in the wider SRE community.

NVIDIA leads the charge in innovative breakthroughs in Artificial Intelligence, High-Performance Computing, and Visualization.

The GPU, our invention, functions as the visual cortex of today's computers and forms the core of our products and services.

Our work opens new realms to explore, encourages outstanding creativity and discovery, and powers inventions once thought of as science fiction — from artificial intelligence to autonomous systems.

NVIDIA is searching for outstanding talent like you to help us advance the next wave of artificial intelligence!

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package.

As you plan your future, see what we can offer to you and your family: www.nvidiabenefits.com