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NVIDIA

Senior Staff Site Reliability Engineer

NVIDIA is hiring a Senior Staff Site Reliability Engineer in Bengaluru, India. Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include Ebpf, Xdp and Dns.
  • Level classifies it as a lead role.
  • Level lists 2,700+ other open roles at NVIDIA.

AI in this role

Design, scale, and deploy core infrastructure services and automation for on-prem and cloud environments.

EbpfXdpDnsNtpDhcpLdap
site-reliabilityinfrastructurecontainerizationdistributed-systemsautomation

NVIDIA has been reinventing computer graphics, PC gaming, and accelerated computing for 30 years. It is 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, generative AI, 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.

We are seeking a highly skilled Senior Staff SRE to join our dynamic team. Our company is at the forefront of technological innovation, and we are dedicated to driving efficiency and optimizing the performance of our infrastructure both on-prem and cloud. Join us in this exciting endeavor!

What You Will Be Doing:

  • Lead initiatives to transform IT Compute Core Team, architecture to build new service offerings across On-Prem and Cloud

  • You will design, scale, and deploy core infrastructure services including DNS, NTP/PTP, DHCP, and LDAP. This includes building for performance and reliability at global scale, covering automation, monitoring, high availability, capacity planning, and lifecycle management.

  • Define and implement metrics to measure the efficiency of services and drive efficiency with software and hardware optimizations (SR-IOV/ DPU)

  • Experience with Technologies like eBPF and XDP for Observability & DDoS mitigation

  • Collect and review system data for capacity and planning purposes, analyze capacity data and develop plans for appropriate level enterprise-wide systems, and coordinate with management personnel in implementing changes.

  • Develop and maintain tools for collecting, analyzing, and visualizing data for reporting, alerting, monitoring.

  • Collaborate with NVIDIA leadership, senior engineers, program managers, and product managers to develop compelling IT products and services that meet customer needs.

What We Need To See:

  • Bachelor’s degree in Engineering, Computer Science, Mathematics, or related field, or equivalent experience

  • 15+ years of proven experience in compute platform engineering with a focus on automation.

  • Experience in designing and deploying Containerization architectures and Distributed Systems Infrastructure

  • Proven experience evaluating existing application architectures and identify opportunities for containerization to improve scalability, reliability, and efficiency.

  • Strong analytical skills with the ability to define and track key performance metrics.

  • Experience in developing tools for data analysis and performance profiling, Development with Terraform, Config Management tools.

  • Proficiency in programming languages such as Go and/or Python.

  • Linux OS Proficiency with Kernel Internals

  • Experience with running large environments consisting of BareMetal Build Infrastructure

  • Understanding of Network Protocols and Architectures (VLAN/VxLAN/SDN/BGP/Anycast)

Ways To Stand Out From The Crowd:

  • Deep understanding of other infrastructure components like, DNS, LDAP, Security Tools etc..

  • Hands-on experience with containers and its implementation

  • Deploying and Managing Services like DNS , LDAP at scale

  • Solid understanding of microservices architecture, infrastructure as code (IaC) and configuration management tools.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and passionate people on the planet working for us. If you're creative and autonomous, we want to hear from you!

#LI-Hybrid

How we rate this

Senior Staff Site Reliability Engineer at NVIDIA rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Site ReliabilityInfrastructureContainerizationDistributed SystemsAutomationEbpfXdpDns

Questions you could be asked

  1. Tell me about a project where site reliability was part of your work. What did you do?
  2. Tell me about a project where infrastructure was part of your work. What did you do?
  3. Tell me about a project where containerization was part of your work. What did you do?
  4. Tell me about a project where distributed systems was part of your work. What did you do?
  5. Tell me about a project where automation was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Site Reliability, Infrastructure, Containerization, Distributed Systems, and Automation. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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