Senior Staff Site Reliability Engineer

NVIDIA; Maharashtra; On-site; INR 3,200,000 - 7,500,000; Full time

Job summary

NVIDIA in Maharashtra, India seeks an experienced Site Reliability Engineer to lead major incidents, define SRE direction, and design scalable, distributed systems powering AI-enabled enterprise products.

The role emphasizes automation, observability, and collaboration with Cloud/Platform/Security teams, with mentorship to raise overall reliability across the India org.

Qualifications

• 10+ years of experience in SRE, Production, Platform, or Incident Management with leadership at scale.
• BS or MS degree in CS, Engineering, or related field (or equivalent practical experience).
• Proven Incident Commander or major incident response leadership in complex, high-availability environments.
• Deep understanding of distributed systems, monitoring, SLOs, error budgets, capacity planning.
• Proficiency in Python, Go, or Java for production automation.
• Experience with AWS/Azure/GCP and containers (Docker, Kubernetes).
• Infrastructure-as-code tools and CI/CD pipelines experience.
• Linux/Unix networking basics and observability with OpenTelemetry/Prometheus/Grafana.
• Experience with SQL databases and query optimization.
• Familiarity with AI/ML concepts applied to operations.

Responsibilities

• 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 to improve reliability, scalability, and developer efficiency across NVIDIA's enterprise systems.
• Design, build, and operate distributed systems — including Kubernetes-based and cloud-native infrastructure.
• Build automation for incident detection, triage, communication, and remediation with self-healing systems.
• Improve observability and signal quality to enable earlier detection and reduce alert noise.
• Drive root cause analysis and translate learnings into systemic fixes and automation.
• Apply AI and data-driven techniques to enhance triage, summarisation, and decision support.
• Champion AI-assisted engineering practices to accelerate workflows.
• Partner with Cloud, Platform, Security, and AI/ML teams to embed SRE best practices and define SLOs.
• Mentor engineers and promote a strong reliability culture in the India organisation.

Skills

SRE leadership

Incident management

Distributed systems

Programming (Python/Go/Java)

Cloud platforms (AWS/Azure/GCP)

Docker & Kubernetes

IaC tools (Terraform, AWS CDK, CloudCo

OpenTelemetry/Prometheus/Grafana

SQL (PostgreSQL/MySQL)

AI/ML in operations

Education

BS/MS in CS/Engineering or related field

Tools

Docker

Kubernetes

Terraform

AWS CDK

CloudFormation

OpenTelemetry

Prometheus

Grafana

PostgreSQL

MySQL

Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology—and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

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.

What We Need To See

• 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.

Ways To Stand Out From The Crowd

• 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