Principal DevOps Engineer

Reposted 9 Days Ago
4 Locations
In-Office or Remote
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead the implementation of DevOps strategy, architect CI/CD systems, collaborate on solutions, optimize performance, and ensure security compliance.
Summary Generated by Built In

NVIDIA’s Infrastructure, Planning and Processes (IPP) organization is seeking a hard-working and experienced DevOps Architect for influencing and implementing the organization’s multi-year DevOps strategy.

The IPP team globally sources private cloud systems for NVIDIA divisions' infrastructure services. You'll design and maintain resilient, scalable and secure build, deployment and development workflows and processes, collaborating with various teams.

What you’ll be doing:
  • Architecting, implementing, and supporting end-to-end CI/CD system using open-source and NVIDIA proprietary software.

  • Collaborating closely with team members across the company to continuously innovate DevOps strategy based on their evolving needs.

  • Detailing and crafting architecture proposals & standard methodologies, driving decisions, and technically leading a team of brilliant engineers to implement impactful solutions.

  • Driving automation to monitor and gain more insight into applications and system health. Optimizing the performance of applications and systems, ensuring high availability and scalability

  • Identifying problem areas within the current software systems and crafting efficient solutions.

  • Developing, improving, and maintaining our infrastructure codebase.

  • Implementing security measures and compliance controls throughout the DevOps lifecycle, protecting sensitive data and adhering to industry standards

  • Crafting and implementing critical metrics using various analytics methods and dashboards.

What we need to see:
  • Bachelor's or Master’s degree in Computer Science, Software Engineering, or equivalent experience.

  • 15+ years of proven track record in crafting & implementing sophisticated software systems.

  • 13+ years’ of experience in leading DevOps platforms, workflows, and pipelines.

  • 7+ years’ confirmed experience as a DevOps Architect building and implementing DevOps practices in innovative software development environments.

  • Expert level automation skills and driving initiatives to automate processes.

  • Strong expertise in scripting languages like Python (Object Oriented), Go and Shell and Linux/Unix environments.

  • Expertise in Jenkins, Gitlab CI/CD and other automated CI/CD tools.

  • Excellent knowledge of infrastructure automation tools (Ansible, Chef, Puppet) and Git.

  • Work experience in AI tools, prompt engineering

  • Experience in data pipelines setup via Kafka, Filebeat and visualizing using tools like Elasticsearch, Kibana, Tableau.

  • Solid understanding of containerization & orchestration tools like Dockers and Kubernetes.

  • Knowledge of DevOps monitoring systems such as Zabbix, Prometheus and/or similar systems.

  • Deep knowledge of Agile principles and practices and the ability to transfer that understanding at all levels of the organization.

Ways to stand out from the crowd:
  • Excellent communication and interpersonal skills, with the ability to collaborate effectively with multi-functional teams and partners.

  • Proven working experience with developer platforms like Backstage

  • Relevant certifications (e.g., AWS Certified DevOps Engineer) are a plus.

NVIDIA is recognized as a highly sought-after employer in the technology industry. We are fortunate to have some of the most dedicated and versatile individuals on our team. If you possess a creative and independent approach, we encourage you to apply.

Top Skills

Ansible
Chef
Docker
Elasticsearch
Gitlab Ci/Cd
Go
Jenkins
Kibana
Kubernetes
Linux
Prometheus
Puppet
Python
Shell
Tableau
Zabbix
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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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