Senior Staff Site Reliability Engineer
Nvidia · Bengaluru · onsite · Posted 63d ago
Not disclosed10–12 yrsfulltimeSourced from
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About this role
Job Requisition ID
JR2023198
Job Category
Engineering
Time Type
Full time
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
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
JR2023198
Job Category
Engineering
Time Type
Full time
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.
- 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.
- 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.
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
Sourced from foundit
Skills
TerraformKubernetesgoogle cloud platformamazon web servicesaws cloudformationAWS CDKOpenTelemetryGolangCrossplanePythonJavascriptTypescriptMicrosoft Azure
About Nvidia

Nvidia
Hardware & Networking
4.5k+
employees
1993
33 years old
Santa Clara, California
United States (USA)
About
NVIDIA, inventor of the GPU, which creates interactive graphics on laptops, workstations, mobile devices, notebooks, PCs, and more.
Industries
Hardware & NetworkingGamingSoftware Product
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Career growth
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