Staff Engineer GPU infrastructure
About The Position
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world. As a Staff Infrastructure Engineer at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing. You’ll be joining a team of highly productive engineers who run and support the GPU Bare Metal service across multiple regions. This role reports directly to the Sr Manager of GPU Compute within the IaaS organization. What You’ll Do: Contribute to rapidly growing GPU infrastructure service products within DO by providing security and operational best practices to infrastructure servers across multiple regions. Help design and implement self-service capabilities for our customers by providing reliable and predictable API capabilities for upstack service teams. Contribute code on automation projects specifically for improving lifecycle management. Work with peers to develop and maintain a known compatibility matrix. Ensure sales engineering teams are successful with proof of concept designs. Provide technical leadership on projects. Maintain a backlog of continuous improvements. Engage in support escalations when necessary. Capture trends and lead internal projects to improve the overall product experience.
Requirements
- Proven ability to orchestrate bare metal linux systems at scale including building automation for firmware updates, bios config management, configuring PXE environments.
- Deep Linux systems experience including low level troubleshooting, developing and applying configuration management, security best practices and monitoring and alerting.
- Strong automation mindset.
- Expert knowledge in 1 or more orchestration tools such as MaaS, Salt, Chef, Ansible or Puppet.
- Strong communication skills. Your job will involve writing detailed documentation for others to pick up or leading knowledge sharing sessions with operations teams.
Nice To Haves
- Hands-on experience in High Performance Computing (HPC) clustered environments from Nvidia or AMD.
- Experience in performing automated wide scale testing on NCCL or other frameworks.
- Network engineering experience with VyOS platforms.
Responsibilities
- Contribute to rapidly growing GPU infrastructure service products within DO by providing security and operational best practices to infrastructure servers across multiple regions.
- Help design and implement self-service capabilities for our customers by providing reliable and predictable API capabilities for upstack service teams.
- Contribute code on automation projects specifically for improving lifecycle management.
- Work with peers to develop and maintain a known compatibility matrix.
- Ensure sales engineering teams are successful with proof of concept designs.
- Provide technical leadership on projects.
- Maintain a backlog of continuous improvements.
- Engage in support escalations when necessary.
- Capture trends and lead internal projects to improve the overall product experience.
Benefits
- We innovate with purpose.
- We prioritize career development.
- We care about your well-being.
- We reward our employees.
- equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees
