NVIDIA Hiring Site Reliability Engineer

About the Role

NVIDIA is hiring a Site Reliability Engineer in Bengaluru. This is an entry-level position ideal for fresh graduates or early-career engineers passionate about site reliability engineering, cloud-native infrastructure, and AI-assisted engineering practices.

Key Responsibilities

• 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.
• 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 mean time to resolution (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, to accelerate day-to-day development workflows.

Requirements & Tech Stack

• 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.

Qualifications

• BS degree in Computer Science or a related technical field (e.g., physics, mathematics), or equivalent practical experience.

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.