Senior Site Reliability Engineer - Datacenter Automation
NVIDIA
NVIDIA is hiring talented professionals for the position of Senior Site Reliability Engineer - Datacenter Automation in India, Bengaluru. This opportunity is ideal for candidates looking to build a strong career in the IT industry in 2026. Applicants should carefully review the eligibility criteria, required skills, and selection process before applying online.
The recruitment drive for 2026 offers a great chance for job seekers to join a reputed organization. Make sure to prepare well for the interview and submit your application before the deadline. Read below for full details on how to apply, educational qualifications, and other important instructions.
Job Overview
| Role: | Senior Site Reliability Engineer - Datacenter Automation |
| Location: | India, Bengaluru |
| Employment Type: | Full Time / Permanent |
| Industry: | IT / Software / Core |
🚀 Why Senior Site Reliability Engineer - Datacenter Automation is a Strategic Career Move in 2026
Joining NVIDIA as a Senior Site Reliability Engineer - Datacenter Automation offers excellent growth prospects. Here's why this role is trending:
- expect a salary hike of 10-30% annually with upskilling.
- Software Engineering is one of the highest-paying domains in India.
Industry Insight: Software Engineer roles in India, Bengaluru are currently seeing high demand.
Organization / Company Name
NVIDIA
(See full description for company details)
🎯 How to Prepare for Senior Site Reliability Engineer - Datacenter Automation Role
To crack the interview at NVIDIA, focus on the following:
- Revise core CS concepts: OS, DBMS, and Computer Networks.
- Practice coding problems on platforms like LeetCode and HackerRank.
- Prepare for System Design questions if applying for senior roles.
Important Dates
- Posted On: 18 February 2026
- Application Deadline: ASAP (Apply immediately)
Job Description
NVIDIA is hiring experienced SRE engineers to help scale up its AI Infrastructure. We expect you to have significant experience with site reliability principles and techniques including reliability assessments, incident management processes, production system observability, monitoring and alerting, automated deployments and toil elimination. We view SRE as a software engineering discipline and expect significant contributions to our codebase. We welcome out-of-the-box thinkers who can provide new ideas with strong execution bias. Expect to be constantly challenged, improving, and evolving for the better. You will help advance NVIDIA's capacity to build and deploy leading infrastructure solutions for a broad range of AI-based applications. If you're creative, passionate about SRE, and love having fun, please apply today!
For two decades, we have pioneered visual computing, the art and science of computer graphics. With the invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning.
What you will be doing:
You will be part of an DGX Cloud team responsible for production systems that enable large scalable GPU clusters to be used for a variety of AI workloads. This includes working on supporting the operation of custom software related to GPU asset provisioning, configuration, and lifecycle management across many cloud providers.
Implementing monitoring and health management capabilities that enable industry leading reliability, availability, and scalability of GPU assets. You will be harnessing multiple data streams, ranging from GPU hardware diagnostics to cluster and network telemetry.
Working with teams across NVIDIA to ensure production AI clusters run reliability and consistently with maximum performance. Evaluating system failures and improving services based on a well-defined incident management process.
What we need to see:
Direct experience in a DevOps/SRE role within a highly technical organization with demonstrable impact from your work.
Highly motivated with strong communication skills, you can work successfully with multi-functional teams, principles, and architects and coordinate effectively across organizational boundaries and geographies.
5+ years in similar role and experience on large-scale production systems. Experience with the aforementioned DevOps/SRE principles, tools and techniques.
You possess a BS in Computer Science, Engineering, Physics, Mathematics or a comparable Degree or equivalent experience.
Technical knowledge, including a systems programming language (Go, Python) and a solid understanding of data structures and algorithms.
Ways to stand out from the crowd:
Technical competency in managing and automating large-scale distributed systems independent of cloud providers. Advanced hands-on experience and deep understanding of cluster management systems (Kubernetes, Slurm, Bright Cluster Manager)
Proven operational excellence in maintaining reliable and performant AI infrastructure.
Educational Qualification
Candidates should possess a relevant degree (B.E/B.Tech, M.E/M.Tech, MCA, or equivalent) from a recognized university. Please refer to the specific requirements in the Job Description above.
Age Limit
As per company rules. Generally, candidates should be at least 18 years of age.
Salary / Pay Scale
Best in Industry / Not Disclosed by Company.
Application Fee
NIL (No application fee for private jobs).
Selection Process
- Resume Shortlisting
- Online Assessment / Technical Round
- HR Interview
- (Process may vary by company)
How to Apply
Interested and eligible candidates can apply online using the link provided below.
- Click on the "Apply Now" link below.
- You will be redirected to the official career page of NVIDIA.
- Read the job details carefully.
- Click on "Apply" and fill in the required details.
- Submit your application.
Important Links
Important Instructions
- Read the full job description on the official site before applying.
- Ensure your resume is updated and matches the job requirements.
- Check your email regularly for updates after applying.
Kishan Prajapati
Career Researcher & IT Industry Analyst. Helping freshers and professionals find verified private IT job opportunities in India.
Disclaimer: This job posting is for information purposes only. We are not associated with NVIDIA directly. All applications are processed through the official company website. Do not pay any money to anyone for this job.
