Staff Storage Engineer

Sorry, this job was removed at 04:14 p.m. (CST) on Friday, May 16, 2025
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Seattle, WA
Hybrid
Cloud • Enterprise Web • Software • Infrastructure as a Service (IaaS)
DigitalOcean is the Inference Cloud built for production AI.
The Role
We are looking for an engineer who will help lead the development and support of current and future storage platforms at scale.

The Storage Team supports the operations and development of block volumes, backups and image management, and object storage.  The ultimate goal of the Droplet Storage Team is to create a cohesive singular interface to hypervisor storage where storage class placement decisions are transparent to the hypervisor client and take advantage of the full range of available block storage classes to best satisfy customer needs.

The selected candidate will have the opportunity to make impactful contributions to key software, contribute to the open source community, and debug interesting problems at cloudscale. 

What You’ll Be Doing:
  • Leading engineering efforts to deliver innovative storage solutions
  • Supporting the creation and operations of distributed systems
  • Programming in Go and other languages
  • Collaborating with a motivated team of peers
  • Consuming from and contributing to free/open source software communities
  • Solving interesting problems in a technically rewarding environment
What You’ll Add to DigitalOcean:
  • Knowledge of Object Storage and distributed File Systems and how to scale those solutions. 
  • Cultivating your skills, learning languages, and teaming up with an agile, self-motivated group of peers to design, develop, test and deploy software in modern tools and languages such as Go.
  • Sharing responsibility for maintaining the availability and performance of storage products
  • Collaborating with and contributing to free and open source software communitiesSolving interesting problems of complexity and scale in a technically rewarding environment
  • Familiarity with concurrency / parallelism models in a modern programming languageBonus:
  • Experience with gRPC, distributed data stores like Ceph, and storage hardware
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 your overall well-being, from one-time work from home stipend to wellness allowance 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 between $190,000 - $205,000 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

#LI-DS1

What the Team is Saying

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The Company
HQ: Broomfield, CO
1,400 Employees
Year Founded: 2012

What We Do

DigitalOcean is the Inference Cloud — a full-stack, production-ready cloud platform built to run AI applications with predictable performance, sustainable economics, and radically simpler operations at scale.

We are built for teams turning AI into real products — not just training models. Our advantage is not fewer features, but fewer failure modes when operating AI at scale — combining minimal operational overhead, predictable cost efficiency, and a full-stack cloud that works as a system. Hyperscalers are broad by design. Neoclouds are infrastructure-first. DigitalOcean is inference-first — with a real cloud underneath. It combines inference-optimized compute, managed inference software, and integrated cloud capabilities that reduce operational burden for teams running real workloads. Inference is the foundation—not the boundary. Everything else builds on top of it.

Why Work With Us

At DO, we do career-defining work. We innovate with AI and build cutting-edge tech. Our rewards to match that intensity - to motivate you, recognize your impact, and give you what you need to thrive. If you have a growth mindset, like to think big and bold, and are energized by the fast-paced environment, you'll find your place here.

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We commit to both remote work and in-person collaboration. These ways of working are dependent on specific roles and are mutually agreed upon by employees. In the US, we are mainly remote. In our APAC locations, we have a hybrid in-office approach.

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