Senior Staff Site Reliability Engineer

Overview

Senior individual-contributor role combining real-time incident leadership with hands-on reliability engineering across NVIDIA's AI-powered enterprise platforms, and mentoring SRE talent as the practice scales in India.

What you'll do

• Lead major incidents end to end, driving triage, cross-team coordination, decision making, and executive communication across global time zones.
• Set technical direction for SRE initiatives that improve reliability, scalability, and developer efficiency across NVIDIA's enterprise systems, and drive them to adoption beyond your immediate team.
• Design, build, and operate distributed systems, including Kubernetes-based and cloud-native infrastructure, that power NVIDIA's AI-powered enterprise products and services.
• Build automation for incident detection, triage, communication, and remediation, replacing manual runbooks with self-healing systems.
• Improve observability and signal quality to enable earlier detection, reduce alert noise, and eliminate reliance on user-reported issues.
• Drive root cause analysis and translate learnings into systemic fixes, automation, and prevention mechanisms; raise the bar on post-incident review quality across the org.
• Apply AI and data-driven techniques, including LLMs, anomaly detection, and signal correlation, to enhance incident triage, summarisation, and decision support.
• Champion AI-assisted engineering practices, including coding agents and LLM-powered tooling, to accelerate day-to-day engineering workflows.
• Partner with Cloud, Platform, Security, and AI/ML teams to embed SRE best practices, define SLOs and error budgets, and influence architecture early in the design cycle.
• Mentor engineers, raise engineering standards through design and code review, and help build a strong reliability culture in the India organisation.

What you'll need

• 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, including 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), including 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.

Nice to have

• Hands-on experience building incident management or automation platforms (ChatOps, workflow orchestration, alert intelligence) and applying AI to operations, including intelligent triage, RCA generation, and signal correlation, with a demonstrable track record of reducing MTTD and MTTR, backed by numbers.
• 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.
• A strong sense of ownership, curiosity, and initiative, along with contributions to open-source infrastructure/observability projects, conference talks, or active participation in the wider SRE community.

Details

• Location: India, Pune.
• Role is based in India and works across global time zones during incidents.