Senior DevOps Engineer - Robotics

$148,000 - $276,000/Yr

Nvidia - Santa Clara, CA

posted 2 months ago

Full-time - Senior
Santa Clara, CA
Computer and Electronic Product Manufacturing

About the position

The Senior DevOps Engineer will play a crucial role in the NVIDIA Robotics team, focusing on managing and optimizing software development and deployment processes. This position requires expertise in various tools and technologies, including Monorepo, Bazel, Git, Linux, Jenkins, Docker, Kubernetes, and Python. The engineer will lead DevOps efforts, collaborate with cross-functional teams, and ensure the reliability and scalability of software infrastructure.

Responsibilities

  • Develop and maintain scripts for automation of various tasks, including build, deployment, and monitoring.
  • Set up and manage continuous integration and continuous deployment (CI/CD) pipelines using tools like Bazel and Git.
  • Lead all aspects of the deployment, management, and scaling of applications using Docker and Kubernetes.
  • Perform system administration tasks on Linux servers, ensuring high availability and performance.
  • Work closely with software engineers and QA engineers to ensure smooth deployment and operation of software.
  • Mentor junior team members and provide guidance on industry standards.
  • Resolve issues in development and testing environments.
  • Implement and maintain security standards and compliance requirements in the DevOps processes.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience).
  • Minimum of 5 years of experience in a DevOps role, with at least 3 years in a senior position.
  • Proficiency in Python for scripting and automation.
  • Experience with Bazel for build and CI/CD processes.
  • Solid understanding of Git for version control and source code management.
  • Expertise in Linux.
  • Proficiency with Docker for containerization and in Kubernetes for orchestration and management of containerized applications.

Nice-to-haves

  • Experience with other programming languages such as C++.
  • Familiarity with cloud platforms like AWS or Azure.
  • Experience with monitoring tools like ELK, Prometheus, and Grafana.

Benefits

  • Equity opportunities
  • Comprehensive health benefits
  • Flexible work hours
  • Professional development opportunities
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