Staff Software Engineer, DigitalOcean

Infrastructure Architecture - AI/ML

$235-274k

Python
Elasticsearch
Linux
Go
C++
C
Chef
GSuite
JIRA
Slack
Git
Senior and Expert level
Denver
DigitalOcean

Cloud computing services for developers

Job no longer available

DigitalOcean

Cloud computing services for developers

1001+ employees

B2BEnterpriseInternal toolsBig dataSaaSDevOpsCloud Computing

Job no longer available

$235-274k

Python
Elasticsearch
Linux
Go
C++
C
Chef
GSuite
JIRA
Slack
Git
Senior and Expert level
Denver

1001+ employees

B2BEnterpriseInternal toolsBig dataSaaSDevOpsCloud Computing

Company mission

To simplify cloud computing so developers and businesses can spend more time creating software that changes the world.

Role

Who you are

  • Experience delivering virtualized and/or bare metal GPU infrastructure
  • Understanding of AI/ML workloads and overall industry trends
  • A track record of upstream contribution and influence in relevant open source communities (like mlcomms, kernel, and QEMU)
  • Experience driving technical strategy for a company or larger organization
  • 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

What the job involves

  • 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!
  • The person filling this position will report to the Sr. Engineering Director of the Infrastructure Fleet Organization (Infra Fleet)
  • Work with your fellow sharks to design, develop, and optimize the next generation of virtualized 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
  • Influencing a culture of engineering excellence through active engagement with DigitalOcean’s Architecture group
  • Working directly with individual engineering teams to deliver new infrastructure functions and technologies in support of DigitalOcean AI/ML products
  • Drive technical strategy that influences medium and long term roadmaps
  • 5-20% of your time is spent contributing to open source communities related to our stack and encouraging your fellow sharks to do the same

Our take

DigitalOcean offers computer network and storage capabilities that enable its users to quickly set up online businesses. Straightforward tools and attractive pricing have attracted hundreds of thousands of customers in the last decade, including pop superstar Beyoncé, who hosted a new album release on the company’s servers during its early years.

DigitalOcean has a strong customer base, but must continue to improve to stay relevant in such an extremely competitive space. The company battles with rivals such as Amazon Web Service, Microsoft Azure and Google's Cloud Platform, which are the undisputed leaders in the cloud computing market. Wisely, DigitalOcean avoids direct confrontation with these giants by focusing more on small businesses and startups and providing more savings opportunities for its users.

The company has boasted clients such as GitLab, Slack and HashiCorp amongst its impressive lists of customers. Additionally, the company has acquired Cloudways in a move to further simplify workflows for its clients that are looking to scale their digital businesses, it opened a new data center in Sydney, and expects to see a revenue rise between 9% and 12% over 2024.

Kirsty headshot

Kirsty

Company Specialist

Insights

Top investors

Few candidates hear
back within 2 weeks

30% employee growth in 12 months

Company

Funding (last 2 of 4 rounds)

May 2020

$50m

SERIES C

Jul 2015

$83m

SERIES B

Total funding: $173.2m

Company benefits

  • Full health coverage
  • Flexible vacation time
  • An annual company offsite, Shark Week
  • Monthly gym and internet reimbursement
  • Parental leave with transition time built-in
  • Formalized mentorship, LinkedIn Learning tracks, and other internal programs
  • Work from home opportunities
  • 401k plan with up to a 4% employer match

Company values

  • Our community is bigger than us
  • Simplicity is in all we DO
  • We speak up when we have something to say and listen when others DO
  • We are accountable to deliver on our commitments
  • Love is at our core

Company HQ

South Village, New York, NY

Founders

Yancey Spruill

(CEO, not founder)

Previously served as CFO and COO for SendGrid and as CFO for both TwentyEighty and DigitalGlobe.

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