Senior Software Engineer, Reliability and Operational Excellence - DGX Cloud

at Nvidia

📍 Santa Clara, United States

$148,000-276,000 per year

SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Docker @ 4 Go @ 4 Kubernetes @ 4 Linux @ 4 Terraform @ 4 TypeScript @ 4 Python @ 4 Looker @ 4 Spark @ 4 Tableau @ 4 Java @ 4 Distributed Systems @ 4 Data Science @ 4 Leadership @ 4 Apache Beam @ 4 Communication @ 7 Helm @ 4 Mathematics @ 4 Networking @ 4 SRE @ 4 Planning @ 4 Backstage @ 4 Hive @ 4

Details

DGXC SRE at NVIDIA ensures that our internal and external facing GPU cloud services run maximum reliability and uptime as promised to the users and at the same time enabling developers to make changes to the existing system through careful preparation and planning while keeping an eye on capacity, latency and performance.

Responsibilities

  • Design, build, deploy, and run internal tooling built on top of cloud infrastructure to provide foundations for operational excellence.
  • Design, implement, ship, and maintain essential data pipelines that will be used by executive leadership to decide on business priorities.
  • Integrate tooling with internal and customer workflows along with cloud service providers to streamline incident management processes.
  • Reduce the toil of running an incident, writing a postmortem, running an on-call, etc.
  • Evangelize sustainable blameless incident prevention and incident response.
  • Consult with and provide consultation for peer teams on operations best practices.

Requirements

  • BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics), or equivalent experience.
  • 5+ years of experience.
  • A track record showing a good balance between initiating your own projects, convincing others to collaborate with you, and collaborating well on projects initiated by others.
  • Experience with infrastructure automation and distributed systems design developing tools for running large scale private or public cloud systems in production.
  • Experience in one or more of the following: Python, Go, Typescript, C/C++, Java.
  • In-depth knowledge in one or more of Linux, Networking, Storage, and Containers.

Ways to stand out from the crowd

  • Experience building and integrating with incident tooling such as FireHydrant, Rootly, incident.io, blameless. Experience building plugins, templates, and entity schemas in Backstage.
  • Background with infrastructure technologies such as Kubernetes, Terraform, Docker, Helm charts. Experience with basic ML and data science concepts and tooling such as Hive, Apache Beam, Apache Spark, etc.
  • Experience with business analytics tooling such as Looker, Tableau. Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard-working people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.