Senior Staff Site Reliability Engineer
NVIDIA
NVIDIA is looking for a Senior Staff Site Reliability Engineer to join our team in India. This is a senior individual-contributor role that combines real-time incident leadership with deep hands-on engineering, focused on how we detect, respond to, and prevent issues at scale across NVIDIA's AI-powered enterprise platforms. You will operate as an Incident Commander during critical events, set the technical direction for reliability engineering across multiple teams, and build the automation, observability, and AI-assisted tooling that reduce operational toil and raise reliability over time. You will also mentor and grow SRE talent as we scale the practice in India.
What You'll Be Doing
- 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 — LLMs, anomaly detection, 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.
- 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.
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
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