NVIDIA is hiring for the position of Site Reliability Engineer in Bengaluru, India. Candidates with a Bachelor’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | NVIDIA |
| Position | Site Reliability Engineer |
| Qualifications | Bachelor’s Degree |
| Experience | Freshers/ Experienced |
| Location | Bengaluru, India |
Key Responsibilities:
- Support and contribute to Site Reliability Engineering (SRE) initiatives aimed at improving the reliability, scalability, and developer efficiency of enterprise systems.
- Assist in building and maintaining distributed systems that support AI-powered enterprise products and services while gaining exposure to modern architectural patterns.
- Support the automation of database operations, including provisioning, scaling, backup, and failover for relational and vector database services.
- Contribute to observability and monitoring initiatives by developing dashboards, alerts, and automation scripts to improve system performance and reliability.
- Participate in incident response activities, including issue triage, troubleshooting, and resolution, while contributing to efforts to reduce Mean Time to Resolution (MTTR) and supporting post-incident reviews.
- Collaborate with Cloud, Platform, Security, and AI/ML teams to support platform reliability and implement SRE best practices.
- Learn to operate, monitor, and troubleshoot complex systems, including Kubernetes-based and cloud-native infrastructure, while following established system design and incident management standards.
- Explore and adopt AI-assisted engineering practices, including coding agents and LLM-powered tools, to improve development efficiency and accelerate day-to-day engineering workflows.
Eligibility Criteria:
- Bachelor’s degree in Computer Science or a related technical field, such as Physics or 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 such as AWS, Azure, or GCP, along with containerisation technologies such as Docker and Kubernetes.
- Exposure to infrastructure-as-code tools such as Terraform, AWS CDK, or CloudFormation through coursework or practical experience, or a willingness to learn them.
- Familiarity with Linux/Unix systems, networking fundamentals, and version control systems such as Git.
- Understanding of observability concepts, including logging, metrics, and tracing, with exposure to tools such as OpenTelemetry, Prometheus, or Grafana.
- Basic knowledge of relational databases such as PostgreSQL or MySQL, including SQL, indexing, and basic query optimisation.
- Strong problem-solving skills, curiosity, and willingness to learn in a fast-paced and collaborative environment.
- Good communication and teamwork skills, with the ability to ask relevant questions, collaborate effectively, and learn from experienced engineers.
Preferred Skills:
- Experience through personal projects, internships, or coursework involving cloud infrastructure, automation, DevOps, or 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 basic machine learning models, experimenting with LLM APIs, or using AI-powered developer tools such as GitHub Copilot or Cursor.
- Hands-on experience with CI/CD pipelines, automation scripting, or container orchestration through academic, personal, or professional projects.
- Strong sense of ownership, curiosity, and initiative, with the ability to embrace challenges and explore unfamiliar systems and technologies.
About Company:
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
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