NVIDIA Hiring Site Reliability Engineer in Bengaluru NVIDIA • Bengaluru INR ₹12-22 LPA (estimated)/year DevOpsFull-timePosted 23 August 2026Updated 23 August 2026Expired Share:

NVIDIA, the company that has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years, is hiring a Site Reliability Engineer in Bengaluru. Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing — an era in which the GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. As an NVIDIAN, you will be immersed in a diverse, supportive environment where everyone is inspired to do their best work.

In this role, you will support and contribute to SRE initiatives that improve reliability, scalability, and developer efficiency across enterprise systems. You will assist in building and maintaining distributed systems that power NVIDIA's AI-powered enterprise products and services, learning up-to-date architectural patterns along the way. This is an entry-level position ideal for fresh graduates or early-career engineers who are passionate about site reliability engineering, cloud-native infrastructure, and AI-assisted engineering practices.

You will help automate database operations including provisioning, scaling, backup, and failover for relational and vector database services. You will contribute to observability and monitoring efforts by building dashboards, alerts, and automation scripts to improve system performance and reliability. You will participate in incident response processes, learning to triage issues, reduce mean time to resolution (MTTR), and contribute to post-incident reviews.

You will also explore and adopt AI-assisted engineering practices, including coding agents and LLM-powered tooling, to accelerate day-to-day development workflows.

Key responsibilities include

- Support and contribute to SRE initiatives that improve reliability, scalability, and developer efficiency across enterprise systems




- Assist in building and maintaining distributed systems that power NVIDIA's AI-powered enterprise products and services
- Help automate database operations including provisioning, scaling, backup, and failover for relational and vector database services
- Contribute to observability and monitoring efforts by building dashboards, alerts, and automation scripts
- Participate in incident response processes, learning to triage issues, reduce MTTR, and contribute to post-incident reviews
- Collaborate with Cloud, Platform, Security, and AI/ML teams to support platform reliability and implement SRE best practices
- Learn to operate and troubleshoot complex systems including Kubernetes-based and cloud-native infrastructure
- Explore and adopt AI-assisted engineering practices including coding agents and LLM-powered tooling

Requirements

- BS degree in Computer Science or a related technical field (e.g., physics, mathematics), or equivalent practical experience
- Foundational proficiency in at least one programming language such as Python, TypeScript, JavaScript, or Go
- Basic understanding of cloud platforms (AWS, Azure, or GCP) and containerisation technologies like Docker and Kubernetes
- Exposure to or coursework in infrastructure-as-code tools (e.g., Terraform, AWS CDK, CloudFormation) or willingness to learn
- Familiarity with Linux/Unix systems, networking fundamentals, and version control (Git)
- Interest in observability concepts (logging, metrics, tracing) and tools such as OpenTelemetry, Prometheus, or Grafana
- Basic knowledge of relational databases (e.g., PostgreSQL, MySQL) — understanding of SQL, indexing,



and simple query optimisation
- Strong problem-solving skills, curiosity, and a willingness to learn in a fast-paced, collaborative environment
- Good communication and teamwork skills, with the ability to ask the right questions and learn from senior engineers

Ways to stand out:
- Personal projects, internships, or coursework involving cloud infrastructure, automation, or DevOps/SRE practices
- Contributions to open-source projects or active participation in hackathons, coding competitions, or technical communities
- Exposure to AI/ML concepts such as building or deploying a simple ML model, experimenting with LLM APIs, or using AI-powered developer tools (Copilot, Cursor)
- Hands-on experience with CI/CD pipelines, scripting for automation, or container orchestration
- A strong sense of ownership, curiosity, and initiative — you turn challenges into learning opportunities and are not afraid to dive into unfamiliar systems

Note CloudSutra is a helping hand, not the official recruiter. Kindly apply only on the official career site of the respective company.

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Company: NVIDIA Location: Bengaluru Address: Bagmane Goldstone Building, North Tower, Adjacent to World Technology Centre, Marathahalli Outer Ring Road, Mahadevapura, K.R. Puram Hobli, Bengaluru, Karnataka, 560048, IN Category: DevOps Employment Type: Full-time Salary: INR ₹12-22 LPA (estimated)/year Posted: 23 August 2026 Valid Through: 28 August 2026 (Expired) Related Jobs

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📌 NVIDIA Hiring Site Reliability Engineer in Bengaluru
🏢 CloudSutra
📍 Bengaluru