Senior Site Reliability Engineer at NVIDIA

pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

18 May, 26

Salary

0.0

Posted On

17 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Infrastructure Management, Monitoring, Automation, System Administration, CI/CD, Kubernetes, Docker, Ansible, Jenkins, Kafka, Elasticsearch, Grafana, Kibana, Prometheus, MySQL, Git

Industry

Computer Hardware Manufacturing

Description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA’s Infrastructure, Planning and Processes (IPP) organization is seeking a hard-working and experienced Site Reliability/DevOps Engineer, with strong background in Infrastructure Management, Monitoring, Automation, & System Administration, to join our SRE Team in Pune. The IPP Org provides Infrastructure, Products & Services for multiple software teams including GPU, Mobile, and Automotive divisions working on Nvidia's extraordinary products & services. The team is responsible for hosting, enabling & running the large scale hybrid cloud systems & services, for our in-house CI offerings. The cloud hosts a heterogeneous mix of machines and devices with various operating systems (Windows/Linux/Android, etc.), running with NVIDIA GPUs and Tegra Processors. What you’ll be doing: Architecting, implementing, and supporting end-to-end CI/CD system using open-source and NVIDIA proprietary software. Create resilient, scalable, and efficient Build and deployment pipelines. Design and implement complex automation platforms to identify & resolve operational inefficiencies. Triaging software, hardware and infrastructure issues and maintaining high availability for our infrastructure & services. Deploying & Monitoring critical high performance, large scale services running on Geo-distributed systems. Continuously Strive for efficient utilization & management of the infrastructure. Driving automation to monitor and gain more insight into applications and system health. Work with architects and engineers across the teams to review the designs & solutions during development and deployment phases. Collaborate with our other engineering teams to deliver reliable, robust, and high-performance capability of the underlying infra. Mine & analyse data from multiple sources for identifying scaling & optimization opportunities. What we need to see: Bachelor's or Master’s degree in Computer Science, Software Engineering, or equivalent experience. 10+ years of experience as a DevOps Expert designing, implementing & managing sophisticated software systems supporting DevOps platforms and pipelines. Hands-on experience with containerization - Kubernetes, dockers & virtualization. Solid automation skills and the ability to drive initiatives to automate processes. Excellent knowledge of infrastructure automation tools (Ansible, Chef, Puppet) & CI/CD tools like Jenkins, etc. Experienced in data pipelines setup via Kafka, Filebeat and visualization using tools like Elastic search, Grafana, Kibana, Tableau Working Knowledge of Devops monitoring systems such as Zabbix, Prometheus and/or similar systems. Fluency in using MySQL or equivalent NoSQL databases queries Working Experience with Perforce, GIT or any other version control system is necessary. Exposure to CSPs like, AWS, Azure, GCP & Managed Services Ways to stand out from the crowd: Excellent communication and interpersonal skills, with the ability to collaborate effectively with multi-functional teams and partners. Flexibility to work in shifts and Weekends in the hour of need Experience in Building regression detection systems by analyzing real-time production data, emphasizing important metrics. Knowledge of Agile principles and practices and the ability to transfer that understanding at all levels of the organization. Innovating with industry-standard tools and collaborating with the open source community Ability to self-manage, show leadership, mentor others and communicate well. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Responsibilities

The role involves architecting, implementing, and supporting end-to-end CI/CD systems, creating resilient deployment pipelines, and designing complex automation platforms to resolve operational inefficiencies. Responsibilities also include triaging issues, maintaining high availability for large-scale services, and driving automation for system health monitoring.