VP, Compute & Network Engineering at DigitalOcean

Key Facts

Remote From:

Full time

Expert & Leadership (>10 years)

English

Hard Skills

Virtualization Distributed Computing Performance Systems Analysis Computer Networks Cloud Computing Reliability Engineering Technology Roadmaps Scalability Hardware Virtualization Hypervisor Kernel Methods Process Optimization Architectural Design Organizational Strategy Customer Centricity Stakeholder Communications

Other Skills

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Collaboration
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Communication
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Team Management
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Strategic Planning
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Mentorship
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Growth Mindedness
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Diplomacy

Job description

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.

We want people who are passionate about building features that you and your peers will love.

At DigitalOcean, we believe the cloud should be a springboard, not a barrier. As we enter the era of agentic AI, the complexity of infrastructure shouldn't stand in the way of innovation. We are looking for a visionary leader to own the evolution of our core compute platform—turning high-performance virtualization and specialized AI hardware into the "simple" experience our customers expect. This is a rare opportunity to architect the long-term roadmap for a global ecosystem that empowers millions of digital natives to build the future of AI.

The Role: We are looking for a Strategic Technical Visionary to lead the end-to-end architectural design of our next-generation compute infrastructure. Reporting to the SVP of IaaS, you will harmonize deep engineering systems design with product positioning and market-fit strategies for AI workloads and agentic inferencing.

What You’ll Do:

Define and execute the next-generation compute roadmap in order to provide digital-native customers with a seamless, high-performance environment for agentic inferencing and AI-heavy workloads.
Drive the long-term architectural strategy in order to ensure our IaaS layer remains scalable, resilient, and optimized for the unique demands of modern LLM deployment.
Lead a multi-layered engineering organization in order to cultivate a high-performance culture that balances rapid AI innovation with the rock-solid reliability of our core compute services.
Partner with Product and Marketing leadership in order to translate complex technical capabilities into a compelling market position that differentiates DigitalOcean in the AI infrastructure landscape.
Optimize global hypervisor and hardware efficiency in order to maintain our commitment to predictable pricing while scaling specialized AI compute resources.
Champion organizational agility and growth mindset in order to navigate the fast-moving AI sector and ensure our teams stay responsive to shifting developer needs.
Establish deep technical partnerships with silicon and hardware vendors in order to influence future hardware roadmaps and secure the best-in-class infrastructure for our users.

What You’ll Add:

Technical Breadth: A deep understanding of Large-Scale Distributed Systems, expertise in KVM/Virtualization and GPU orchestration, and a proven track record of architecting IaaS platforms specifically for AI/ML workloads.
The "Human" Element: Exceptional Cross-Functional Diplomacy. You can bridge the gap between deep-kernel engineering and high-level business strategy, making the complex simple for every stakeholder.
Growth Mindset: A desire to learn, an appetite for feedback, and a "leave it better than you found it" attitude.

Compensation Range:

$279,200.00 - $349,000

*This is a remote role

JR: 2026-7711

#LI-Remote

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 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.
DigitalOcean is an equal-opportunity employer. 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.

Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.

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