Senior Staff Site Reliability Engineer

NVIDIA Corporation; India; On-site; INR 4,000,000 - 6,500,000; Full time

Job summary

NVIDIA Corporation is seeking a seasoned Site Reliability Engineer to lead the strategy and execution of large-scale, multi-functional reliability initiatives. You will design and implement resilient distributed systems powering NVIDIA’s next-generation AI-enabled products and services, focusing on automation, observability, and AI-aware operations.

You will collaborate with Cloud, Platform, Security, and AI/ML teams to guarantee high availability and secure operations while mentoring engineers

Qualifications

• 10+ years of experience in Site Reliability Engineering, Platform Engineering, or Cloud Architect roles.
• BS degree in Computer Science or a related technical field involving coding, or equivalent experience.
• Strong proficiency in programming languages such as Python, Typescript, JavaScript, or Go, with a focus on automation and distributed systems debugging.
• Experience with infrastructure-as-code tooling such as AWS CDK, AWS CloudFormation, Terraform, or CrossPlane.
• Solid understanding of OpenTelemetry or other observability implementations at scale, including observability build for AI workloads.
• Deep expertise in systems architecture, networking, Kubernetes, and public cloud services (AWS, Azure, or GCP).

Responsibilities

• Lead the technical strategy and roadmap for large-scale SRE initiatives across enterprise systems.
• Design and build resilient distributed systems powering NVIDIA’s AI-enabled products and services.
• Drive automation and observability improvements using metrics and telemetry.
• Build LLM-aware monitoring and autonomous incident response pipelines for AI workloads.
• Collaborate with Cloud, Platform, Security, and AI/ML groups to ensure high availability and secure operations.
• Analyze and run complex Kubernetes-scale and AI/ML infra challenges, setting standards for design and incident management.
• Mentor engineers to adopt AI-first tooling and agentic development workflows.

Skills

Site Reliability Engineering

Python

Typescript

JavaScript

Go

Automation

Kubernetes

AWS

Azure

GCP

Education

BS in Computer Science or related field

Tools

AWS CDK

Terraform

OpenTelemetry

CrossPlane

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 the technical strategy and roadmap for large-scale, multi-functional SRE initiatives that boost reliability, scalability, and developer efficiency throughout enterprise systems.
• Design and build resilient distributed systems that power NVIDIA’s next-generation AI-powered enterprise products and services, including transforming legacy applications and database systems into modern and scalable architectures.
• Drive automation and observability improvements, using metrics and analytics — including AI workload quality signals and model performance telemetry — to improve performance, reliability, and efficiency.
• Build LLM-aware monitoring and autonomous incident response pipelines to reduce toil, accelerate MTTR, and evolve on‑call operations toward AI‑assisted remediation.
• Work together with Cloud, Platform, Security, and AI/ML groups to develop modern SRE elements and AI-native platform features that guarantee high availability and secure operations.
• Analyze and run complex systems — including Kubernetes-scale and AI/ML infrastructure challenges — championing standards in system design and incident management.
• Drive AI‑assisted and AI‑first engineering practices across the organization, mentoring engineers to adopt agentic development workflows, coding agents, and LLM‑powered tooling in their day‑to‑day work.

What we need to see:

• 10+ years of experience in Site Reliability Engineering, Platform Engineering, or Cloud Architect roles.
• BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics), or equivalent experience.
• Strong proficiency in programming languages such as Python, Typescript, JavaScript, or Go, with a focus on automation and infrastructure‑as‑code and distributed systems debugging.
• Experience with infrastructure‑as‑code tooling such as AWS CDK, AWS CloudFormation, Terraform, or CrossPlane.
• Solid understanding of OpenTelemetry or other observability implementations at scale, including observability build for AI workloads (model performance, drift detection, and AI quality signals).
• Deep expertise in systems architecture, networking, Kubernetes, and public cloud services (AWS, Azure, or GCP), including bare‑metal and GPU‑accelerated infrastructure.
• Outstanding problem‑solving, communication, and collaboration skills, with the ability to influence across technical and interpersonal boundaries.

Ways to stand out from the crowd:

• Experience with Public Cloud or large‑scale automation systems.
• Capability to steer technical strategy and achieve quantifiable reliability results in complex, multi‑team settings.
• Experience building or operating agentic AI platforms — autonomous or semi‑autonomous — including LLM toolchains, agent orchestration frameworks (e.g., LangGraph, AutoGen), or automated runbook and toil‑reduction processes.
• A strong sense of ownership, curiosity, and innovation — and turn challenges into opportunities.

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 NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.