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Senior Site Reliability Engineer

Nvidia

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This role on the market

1,058 open reliability roles across 238 companies are on ApplySarthi right now, most of them in Bengaluru (63), Hyderabad (11), Delhi NCR (10).

What reliability roles keep asking for: Python (50%), Observability (42%), Kubernetes (38%), AWS (32%), Terraform (29%), CI/CD (27%), Linux (27%), System design (20%) — counted across their open postings here.

Remote Site Reliability Engineer jobs · Go jobs · Linux jobs · Microservices jobs · Observability jobs

Nvidia has 3,820 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for reliability roles keep coming back to Python, Observability, Kubernetes, AWS. Practise those questions before you sit with Nvidia.

Questions you are likely to be asked

  1. Why do you want to join Nvidia?
  2. What is your experience with Go? Tell me one thing you learned the hard way.
  3. How do you decide what to monitor, and what should wake someone up at night?
  4. How would you cut the cloud bill of a system without hurting it?
  5. How do you keep secrets and access safe in your infrastructure?

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We are seeking a highly skilled Principal Staff SRE to join our dynamic Core Infrastructure team. This role will lead initiatives that improve the efficiency, performance, reliability, and evolution of infrastructure services across on-premises and cloud environments. 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 What you'll be doing: Lead initiatives that transform the IT Compute Core architecture and build new infrastructure service offerings across on-premises and cloud environments. Design, scale, and deploy core infrastructure services including DNS, NTP/PTP, DHCP, and LDAP, with responsibility for performance, reliability, automation, monitoring, high availability, capacity planning, and lifecycle management at global scale. Define and implement service-efficiency metrics, and drive improvements through software and hardware optimization, including SR-IOV and DPU capabilities where appropriate. Apply technologies such as eBPF and XDP to improve observability, performance analysis, and DDoS-mitigation capabilities. Collect and analyze system and capacity data; develop enterprise-wide capacity plans and coordinate with management to implement appropriate changes. Develop and maintain tools for collecting, analyzing, and visualizing data for reporting, alerting, and 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 a related field, or equivalent experience. 12+ years of demonstrable experience in compute platform engineering, with a strong focus on automation and technical leadership in large-scale environments. Experience designing and deploying containerization architectures and distributed-systems infrastructure. Demonstrable experience evaluating existing application architectures and seeing opportunities for containerization that improve scalability, reliability, and efficiency. Strong analytical skills, including the ability to define and track key performance metrics. Experience developing tools for data analysis and performance profiling, including Terraform and configuration-management tools. Proficiency in Go, Python, or similar programming languages. Linux OS proficiency, including kernel internals. Experience operating large-scale environments with bare-metal build infrastructure. Understanding of network protocols and architectures, including VLAN, VXLAN, SDN, BGP, and Anycast. Ways to stand out from the crowd: Deep understanding of complementary infrastructure components, including DNS, LDAP, and security tools. Hands-on experience with containers and their implementation. Experience deploying and managing services such as DNS and LDAP at scale. Solid understanding of microservices architecture, infrastructure as code, and configuration-management tools. NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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Listed on workday · posted 2026-09-30. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.