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.
DigitalOcean's Agentic Inference Cloud delivers predictable cost efficiency, radically simple operations and high performance at scale — so teams can focus on building AI products instead of managing infrastructure or absorbing surprise costs. The platform combines production-ready GPU infrastructure, a full-stack cloud, model-first inference workflows, and an agentic experience layer to reduce operational complexity and accelerate time to production. More than 640,000 customers trust DigitalOcean to deliver the cloud and AI infrastructure they need to build and grow.
Dive in and start the most exciting chapter of your career at DigitalOcean. Journey alongside a community of top talent relentless in their drive to build the Agentic Inference Cloud. We are looking for Software Engineers to help us build a developer-first, vertically integrated platform that simplifies the entire AI lifecycle.
Our engineering team owns this stack end-to-end. You will work on everything from low-level kernel and GPU optimizations to high-performance dedicated clusters and serverless APIs. By engineering every layer of the infrastructure, we ensure that state-of-the-art models - across LLMs, image, audio, and video - run at peak efficiency on a global scale.
You must be currently located in and able to work 3 days per week in the DigitalOcean office we are building in Seattle.
What You'll Do- Feature Development: Write production grade Go and Python to solve the "unit economics" of AI- optimizing how we monetize a single GPU across multiple abstraction layers.
- Performance Engineering: Implement and experiment with prefix caching, batch inferencing, and model quantization to reduce TCO for our customers.
- Model Integration: Assist in the development of model catalogs and automated benchmarking tools to help customers move their models from experimentation to production.
- Operational Excellence: Help manage a global GPU footprint, ensuring 99.9% uptime for mission-critical production workloads.
- Continuous Learning: Collaborate with senior engineers to learn complex system architectures and contribute to high-density GPU orchestration.
- Foundational Knowledge: 1–3 years of software engineering experience with an interest in ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models), or GenAI-related concepts.
- Technical Proficiency: Solid understanding of at least one backend language (Python or Go preferred) and experience working with REST APIs.
- Problem Solving: A proactive approach to troubleshooting and a desire to build production-grade systems in a high-growth tech environment.
- Collaboration: Strong communication skills and a team-first mindset, with the ability to take feedback and apply it to code improvements.
- Tooling Curiosity: Familiarity with containerization (Docker/Kubernetes) and cloud infrastructure is a plus.
- $97,600.00 - $122,000.00
*This is a hybrid role
JR: 2026-8107
#LI-Hybrid
- 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.
Skills Required
- Some exposure to Python or Go through coursework, internships, personal projects, or early professional experience, approximately 0 to 2 years
- Comfort using Linux, specifically Ubuntu LTS, or eagerness to learn quickly
- Familiarity with shell scripting
- Familiarity with Git
- Strong written and verbal communication skills
- Comfort working in an asynchronous, remote environment
- Openness to constructive feedback
- Passion for building quickly, eliminating manual work, scaling intelligently, and collaborating openly
- Default toward AI-assisted development using Cursor, Claude, or similar tools
- Good judgment about work quality, verification, and escalation
- Exposure to CI/CD concepts, GitHub Actions, and Concourse
DigitalOcean Compensation & Benefits Highlights
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Healthcare Strength — Health coverage is described as market‑leading across medical, dental, vision, and mental health, with above‑average employer contributions and 100% employer‑paid life, AD&D, and disability insurance. Some materials note fully paid health benefits for employees in certain locations, though details vary by region.
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Equity Value & Accessibility — Employees are offered company equity alongside an Employee Stock Purchase Plan (ESPP) that enables discounted share purchases, with references to performance equity grants as part of total rewards. This ownership component complements competitive cash pay and bonuses highlighted in company materials.
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Parental & Family Support — Parental benefits are positioned as above‑average, with references to fully paid parental leave (e.g., 10 weeks in newer listings) and a part‑time transition‑back program. Fertility and parenthood support such as Carrot is also called out.
DigitalOcean Insights
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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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
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.
