Senior Staff Site Reliability Engineer

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 enterprise systems.
• Design, build, and operate distributed Kubernetes-based and cloud-native systems.
• Automate incident detection, triage, communication, and remediation with self-healing systems.
• Improve observability and signal quality to detect issues earlier and reduce alert noise.
• Lead root cause analysis and turn learnings into systemic fixes, automation, and prevention.
• Apply LLMs, anomaly detection, and signal correlation to incident operations.
• Partner with Cloud, Platform, Security, and AI/ML teams on SLOs, error budgets, and architecture.
• Mentor engineers and raise standards through design reviews and code reviews.

What we need to see

• 10+ years in Site Reliability Engineering, Production Engineering, Platform Engineering, or Incident Management with technical leadership at scale.
• BS or MS in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• Experience as an Incident Commander or major incident response leader in complex, high-availability environments.
• Deep knowledge of distributed systems, monitoring, 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 AWS, Azure, or GCP and Docker and Kubernetes.
• Experience with infrastructure as code, including Terraform, AWS CDK, or CloudFormation, and CI/CD pipelines.
• Linux/Unix, networking, and observability experience with OpenTelemetry, Prometheus, and Grafana.
• Working knowledge of relational databases, SQL, indexing, and query optimization.
• Experience or familiarity with AI/ML concepts applied to operational workflows.
• Strong written and verbal communication skills for executive briefings and technical influence.

Preferred experience

• Experience building AI-powered incident management or automation platforms.
• Experience scaling reliability across distributed teams and multi-region AI/ML infrastructure.
• Contributions to open-source infrastructure or observability projects, conference talks, or the wider SRE community.

About NVIDIA