Principal DevOps Engineer

Reposted 25 Days Ago
Be an Early Applicant
Hyderabad, Telangana
In-Office
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
In this role, you will design, develop, and maintain cloud storage services, Python modules, and CI tools, collaborating with teams to enhance features.
Summary Generated by Built In

We're seeking a Principal DevOps Engineer to join our ground breaking block storage group. You'll be a key member of a team building next-generation block storage services for cloud, on-prem, bare metal, and virtualized environments. Working closely with networking, hardware teams, and external customers, you will define the software architecture and implement sophisticated Infra SW foundations. These foundations will automate and control the deployment and execution of our storage services, both internally and externally. Join our distributed team of outstanding people, dedicated to pushing the boundaries of what's possible and defining tomorrow's platform.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's an outstanding legacy of innovation that's powered by great technology—and outstanding 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.

What You’ll Be Doing:

  • You will be part of the block storage engineering team and will play a key role in delivering cloud native enterprise grade storage service.

  • Design, develop and maintain Python modules which model, discover and manipulate all aspects of our distributed system

  • Develop and support  Python tools for both internal and customer users using the above modules

  • Develop and maintain Bash scripts used for deploying the system on both physical and cloud nodes of varying Linux flavors

  • Deploy and maintain servers and scripts for Continuous Integration using Gitlab and Jenkins

  • Work with other development teams to model and support ongoing new features in the system

  • Support the QA team in developing  automated test development using our libraries

What We Need To See:

  • B.Sc. in Computer Science or equivalent experience

  • 15+ years of proven experience

  • Strong experience & excellent understanding of Python (object oriented) is required.

  • Strong knowledge of Linux commands and Bash scripting

  • Good understanding of Continuous Integration processes and tools

  • Strong sense of ownership of what you develop

  • Ability to work both independently and as part of a team

Ways to Stand Out From the Crowd:

  • Experience developing object-oriented, multi-threaded Python applications

  • Hands-on experience with Gitlab and Jenkins

  • Understanding and experience with containers, Docker and Kubernetes

  • Experience with cloud platforms (Azure, GCP, AWS)

  • Knowledge of storage and networking

NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Top Skills

AWS
Azure
Bash
Docker
GCP
Gitlab
Jenkins
Kubernetes
Python
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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