NVIDIA Site Reliability Engineer hiring is open for a full-time Site Reliability Engineer (SRE) position in Bengaluru, India. This opportunity is focused on cloud infrastructure, distributed systems, database automation, observability, Kubernetes, incident response, and AI-assisted engineering.
The role is suitable for candidates with a bachelor’s degree in Computer Science or a related technical field and foundational programming knowledge in Python, TypeScript, JavaScript, or Go.
NVIDIA Site Reliability Engineer – Job Details
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| Details | Information |
|---|---|
| Company | NVIDIA |
| Job Role | Site Reliability Engineer |
| Job Requisition ID | JR2023532 |
| Location | Bengaluru, Karnataka, India |
| Job Category | Engineering |
| Employment Type | Full-Time |
| Domain | Site Reliability / Cloud / Infrastructure |
About NVIDIA
NVIDIA has been a major technology company in computer graphics, PC gaming, and accelerated computing for more than 25 years.
Today, NVIDIA focuses heavily on Artificial Intelligence, accelerated computing, GPUs, robotics, autonomous systems, and next-generation computing.
The company describes its workplace as a diverse and supportive environment focused on innovation, collaboration, and technological advancement.
NVIDIA Site Reliability Engineer – About the Role
As an NVIDIA Site Reliability Engineer, you will support initiatives designed to improve the reliability, scalability, and developer efficiency of enterprise systems.
You will work with distributed systems that support NVIDIA’s AI-powered enterprise products and services while gaining exposure to modern infrastructure and architectural patterns.
The role combines software engineering, cloud infrastructure, automation, observability, databases, Kubernetes, and incident management.
What You’ll Do
As an NVIDIA Site Reliability Engineer, you will:
- Support SRE initiatives focused on reliability and scalability.
- Improve developer efficiency across enterprise systems.
- Help build and maintain distributed systems.
- Support infrastructure powering AI-powered enterprise products and services.
- Automate database operations.
- Assist with database provisioning and scaling.
- Support database backup and failover processes.
- Work with relational and vector database services.
- Build dashboards and alerts for system monitoring.
- Contribute to observability initiatives.
- Develop automation scripts to improve system performance and reliability.
- Participate in incident response.
- Help triage system issues.
- Contribute to reducing Mean Time to Resolution (MTTR).
- Participate in post-incident reviews.
- Collaborate with Cloud, Platform, Security, and AI/ML teams.
- Troubleshoot Kubernetes-based and cloud-native infrastructure.
- Follow SRE best practices and established system design standards.
- Explore AI-assisted engineering practices.
- Work with coding agents and LLM-powered developer tools.
NVIDIA Site Reliability Engineer – Eligibility
Candidates should have:
- A Bachelor’s degree in Computer Science or a related technical field.
- A degree in related areas such as Physics or Mathematics may also be relevant.
- Equivalent practical experience may be considered.
- Foundational proficiency in at least one programming language.
Relevant programming languages include:
- Python
- TypeScript
- JavaScript
- Go
Cloud & Infrastructure Skills
Candidates should have a basic understanding of cloud platforms such as:
- AWS
- Microsoft Azure
- Google Cloud Platform (GCP)
Knowledge of containerization technologies is also relevant:
- Docker
- Kubernetes
Infrastructure as Code
Candidates should have exposure to or coursework involving Infrastructure-as-Code tools such as:
- Terraform
- AWS CDK
- CloudFormation
Candidates who do not have extensive experience with these tools should be willing to learn.
Linux, Networking & Version Control
The role also requires familiarity with:
- Linux/Unix systems
- Networking fundamentals
- Git
- Version control
These skills are important for troubleshooting and operating cloud-native infrastructure.
Observability Skills
An understanding of observability concepts is beneficial.
Relevant areas include:
- Logging
- Metrics
- Tracing
- Monitoring
- Alerting
The job posting specifically mentions tools such as:
- OpenTelemetry
- Prometheus
- Grafana
Database Skills
Candidates should have basic knowledge of relational databases such as:
- PostgreSQL
- MySQL
Understanding of the following is useful:
- SQL
- Database indexing
- Query optimization
- Database provisioning
- Database scaling
- Backup
- Failover
Skills That Can Help You Stand Out
Candidates can strengthen their profile through:
- Cloud infrastructure projects
- DevOps projects
- SRE projects
- Automation projects
- Personal infrastructure projects
- Internships
- Open-source contributions
- Hackathons
- Coding competitions
- Technical communities
- CI/CD projects
- Container orchestration
- Infrastructure-as-Code projects
AI & Machine Learning Exposure
NVIDIA also values exposure to AI/ML concepts and AI-powered development tools.
Relevant experience can include:
- Building a basic machine learning model.
- Deploying an ML model.
- Experimenting with LLM APIs.
- Using AI-assisted developer tools.
- Using tools such as Copilot or Cursor.
- Exploring LLM-powered engineering workflows.
Problem-Solving & Communication
The role requires strong:
- Problem-solving skills
- Curiosity
- Learning ability
- Communication
- Teamwork
- Ownership
- Initiative
Candidates should be comfortable asking questions, learning from experienced engineers, and working in a fast-paced collaborative environment.
Who Can Apply?
This opportunity may be suitable for candidates with backgrounds in:
- Computer Science
- Software Engineering
- Cloud Computing
- DevOps
- Site Reliability Engineering
- Infrastructure Engineering
- Computer Engineering
- Mathematics
- Physics
Candidates with relevant projects, internships, coursework, or practical experience in cloud, automation, Kubernetes, Linux, DevOps, databases, or SRE can consider applying.
Salary
Salary information is not specified in the provided job posting.
NVIDIA states that it offers competitive salaries and a comprehensive benefits package, but no specific compensation figure is provided for this position.
Job Location
Bengaluru, Karnataka, India
The position is listed as a full-time Engineering role.
How to Apply
Interested candidates can apply through the official NVIDIA careers website.
Job Requisition ID: JR2023532
Apply Now:
https://jobs.nvidia.com/careers/job/893397145238?domain=nvidia.com&hl=en
Candidates should upload an updated resume in English when applying.
Application Checklist
Before applying, make sure your resume highlights:
- Python / Go / JavaScript / TypeScript
- AWS / Azure / GCP
- Docker
- Kubernetes
- Linux
- Git
- SQL
- PostgreSQL / MySQL
- Terraform
- CI/CD
- Monitoring
- Prometheus / Grafana
- OpenTelemetry
- Cloud projects
- DevOps / SRE projects
- Automation
- AI/ML projects
Frequently Asked Questions
What is the NVIDIA job role?
The position is for a Site Reliability Engineer in Bengaluru.
What is the NVIDIA job ID?
The job requisition ID is JR2023532.
Is this a full-time position?
Yes. The position is listed as Full-Time.
Where is the NVIDIA Site Reliability Engineer job located?
The position is based in Bengaluru, India.
What programming languages are required?
The posting mentions Python, TypeScript, JavaScript, and Go as relevant programming languages.
Which cloud platforms are relevant?
AWS, Azure, and GCP are mentioned.
Is Kubernetes required?
The job description asks for a basic understanding of containerization technologies such as Docker and Kubernetes.
Is Terraform knowledge required?
Exposure to Infrastructure-as-Code tools such as Terraform, AWS CDK, or CloudFormation is preferred, along with willingness to learn.
What database skills are useful?
Basic knowledge of PostgreSQL, MySQL, SQL, indexing, and query optimization is relevant.
Is AI experience required?
The posting highlights AI-assisted engineering and exposure to AI/ML as ways candidates can stand out.
Is salary mentioned?
No specific salary is provided in the job posting.
Important Note
Job availability, eligibility requirements, compensation, and recruitment details may change. Candidates should verify the latest information on the official NVIDIA careers page before applying.
Final Takeaway
The NVIDIA Site Reliability Engineer role is a strong opportunity for candidates interested in SRE, cloud infrastructure, DevOps, Kubernetes, automation, distributed systems, databases, observability, and AI-powered engineering.
If you have strong fundamentals in programming, Linux, cloud platforms, databases, and infrastructure technologies, along with relevant academic or personal projects, this role is worth considering.
Apply now and take the next step toward a career in Site Reliability Engineering at NVIDIA! 🚀
Click Here to Apply Now NVIDIA Site Reliability Engineer
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