Senior Systems Engineer II

Posted 2 Days Ago
Be an Early Applicant
Denver, CO
Senior level
Cloud • Enterprise Web • Software • Infrastructure as a Service (IaaS)
DigitalOcean is the cloud of choice for developers, startups, and SMBs around the world.
The Role
The Senior Systems Engineer II at DigitalOcean will design and optimize GPU infrastructure, collaborate with stakeholders to define infrastructure requirements, and drive improvements in security and performance for AI/ML workloads. This role involves working directly with engineering teams to deliver new functionalities and technologies for DigitalOcean products.
Summary Generated by Built In

We want people who are passionate about designing and operating secure systems at scale.

We are looking for someone passionate about delivering a world class GPU experience for our developer cloud. If you’re an open source advocate familiar with our stack, who enjoys working remotely and is excited about our mission, this role is for you!

At DigitalOcean, we believe in: Creating simple, yet powerful, foundations (with 💕) from which our community can build. The Infrastructure Fleet Organization delivers on this mission by building performant, reliable, modern, efficient, and secure platform foundations for all DigitalOcean products.

Our Stack: Linux, LXC, Python, libvirt, KVM, QEMU, CEPH, VyOS, GPU network fabric

Our Tools: MAAS, Terraform, Chef, Elasticsearch, Git, Github Actions, GSuite, Jira, Slack, Victoria Metrics

Our Team: The person filling this position will report to the Engineering Director of GPU Infrastructure in the AI/ML organization.

What You’ll Be Doing:

  • Work with your fellow sharks to design, develop, and optimize the next generation of GPU infrastructure
  • Work with customers and stakeholders to define and refine infrastructure requirements needed to support their AI/ML workload
  • Work with infrastructure technical leaders to define infrastructure requirements to store, move, and manipulate large datasets
  • Guide performance teams on industry standard testing methodologies and help optimize for GPU fabric throughput   
  • Identify security improvements and drive review discussions with internal teams
  • Working directly with individual engineering teams to deliver new infrastructure functions and technologies in support of DigitalOcean AI/ML products

What We’ll Expect From You:

  • Experience delivering virtualized and/or bare metal GPU infrastructure
  • Understanding of AI/ML workloads and overall industry trends
  • Strong collaborator and consensus builder. Author and review design documentation.
  • Experience troubleshooting, analyzing, and debugging relevant virtualization stacks (kernel, kvm, QEMU)
  • Experience as a software engineer / developer in a large scale, distributed environment
  • Experience writing secure, testable, and robust low-level code
  • Deep understanding of operating systems, virtualization, and Linux internals
  • Familiarity with related virtualization fundamentals, including networking datapath, containers, and data persistence layers
  • A critical thinker dedicated to solving problems and delivering solutions

Why You’ll Like Working for DigitalOcean

  • We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. 
  • We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
  • We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
  • We reward our employees. The salary range for this position is $166,000 - $202,000 based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
  • We value diversity and inclusion. We are an equal-opportunity employer, and recognize that diversity of thought and background builds stronger teams and products to serve our customers. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

*This is a remote role

#LI-Remote

Top Skills

Linux
Python
The Company
HQ: New York , NY
900 Employees
Hybrid Workplace
Year Founded: 2012

What We Do

DigitalOcean (NYSE: DOCN) simplifies cloud computing so builders can spend more time creating software that changes the world. With our mission-critical infrastructure and fully managed offerings, DigitalOcean enables startups and small and medium-sized businesses (SMBs) to rapidly deploy and scale modern applications. As a remote-first organization, our employees, like our customers, are based around the world.

Why Work With Us

Here you'll get to work with some of the smartest, most interesting people around; solving unique and complex technical challenges on a scale matched by few companies. If you get excited about stretching yourself in new ways, developing yourself to your fullest potential, with amazingly supportive friends and colleagues; we want to talk to you!

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