NVIDIA Recruitment 2026:
NVIDIA is hiring a Site Reliability Engineer at Bangalore. The complete details about NVIDIA Recruitment 2026 as follows.
| Job Role | Site Reliability Engineer |
| Qualification | B.E/B.Tech/B.Sc/BCA |
| Experience | Freshers/Experienced |
| Job Location | Bangalore |
Required Qualification :- BS degree in Computer Science or a related technical field (e.g., physics, mathematics), or equivalent practical experience.
What we need to see:
- Good communication and teamwork skills, with the ability to ask the right questions and learn from senior engineers.
- 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) β understanding of SQL, indexing, and simple query optimisation.
- Strong problem-solving skills, curiosity, and a willingness to learn in a fast-paced, collaborative environment.
Ways to stand out from the crowd:
- A strong sense of ownership, curiosity, and initiative β you turn challenges into learning opportunities and arenβt afraid to dive into unfamiliar systems.
- 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 β 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).
What youβll be doing:
- Explore and adopt AI-assisted engineering practices, including coding agents and LLM-powered tooling, to accelerate day-to-day development workflows.
- 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 NVIDIAβs AI-powered enterprise products and services, learning modern architectural patterns along the way.
- Help automate database operations β including provisioning, scaling, backup, and failover β 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 β including Kubernetes-based and cloud-native infrastructure β following established standards in system design and incident management.
NVIDIA Recruitment 2026 Application Process:-
Apply In Below Link-
Apply Link:-Β Click Here To Apply (Apply before the link expires)
NOTE :- Only shortlisted candidates will receive the call letter for further rounds
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