Principal DevOps Engineer

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. Youll 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. O ptimizing 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.
  
  

• Bachelors 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.
  
  

• 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.