NVIDIA Recruitment 2026: NVIDIA is scheduled to hire for the Site Reliability Engineer role. Candidates with B.E/B.Tech/B.Sc/BCA qualifications are eligible to apply. Candidates looking for jobs in Bangalore can utilise this opportunity. Interested and eligible candidates can apply online as soon as possible. The detailed eligibility criteria and application process are given below. Interested candidates can also try Amazon Careers.

NVIDIA Recruitment 2026 – Details:

Job Role	Site Reliability Engineer
Job Type	IT Jobs
Qualification	B.E/B.Tech/B.Sc/BCA
Experience	Freshers/Experienced
Salary/CTC	Best in Industry
Job Location	Bangalore
Last Date	ASAP

Detailed Eligibility:

Site Reliability Engineer:

What we need to see:

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 from the crowd:

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 — e.g., building or deploying a simple ML model, experimenting with LLM APIs, or using AI-powered developer tools (Copilot, Cursor, etc.).
Hands-on experience with CI/CD pipelines, scripting for automation, or container orchestration (even in personal or academic projects).
A strong sense of ownership, curiosity, and initiative — you turn challenges into learning opportunities and aren’t afraid to dive into unfamiliar systems.

What you’ll be doing:

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, learning modern architectural patterns along the way.
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 to improve system performance and reliability.
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 help implement SRE best practices.
Learn to operate and troubleshoot complex systems — including Kubernetes-based and cloud-native infrastructure — following established standards in system design and incident management.
Explore and adopt AI-assisted engineering practices, including coding agents and LLM-powered tooling, to accelerate day-to-day development workflows.