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 Bare Metal GPU 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.
Responsibilities
- Contribute to a rapidly growing Bare Metal GPU product within DO by providing security and operational best practices to a fleet of infrastructure servers across multiple regions.
- Help design and implement further self-service capabilities for our customers by providing reliable and predictable API capabilities for upstack service teams.
- Engage in support escalations when necessary. Capture trends and lead internal projects to improve the overall product experience.
- Continuously test our hardware platforms to identify performance regressions related to firmware, software or hardware issues.
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.
Benefits
- Competitive array of benefits to support overall well-being, including a one-time work from home stipend, wellness allowance, and flexible time off policy.
- Reimbursement for relevant conferences, training, and education.
- Access to LinkedIn Learning's 10,000+ courses to support continued growth and development.
- Salary range between $206,400.00 - $258,000.00 based on market data, relevant years of experience, and skills.
- Eligibility for a bonus based on company and individual performance.
- Equity compensation including equity grants upon hire and participation in the Employee Stock Purchase Program.
