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.
The Fleet Efficiency team supports the scheduling of virtual machines, utilizing bin packing placement algorithms to maximize efficient use of the cloud’s resources. Additionally, we own automation dedicated to continuously monitoring and maintaining optimal use of resources, proactively addressing hypervisor maintenance, and supporting customer experience and performance. We’re looking for a skilled and motivated Software Engineer to join the Fleet Efficiency team. In this role, you will contribute to the design, development, and operation of the backend systems that support DigitalOcean’s core products. You will work closely with distributed systems, systems engineering, performance tuning, and observability to ensure our platform meets enterprise-grade reliability and usability.
What You’ll Do:- Spearhead the development of our distributed scheduling and optimization services
- Develop robust scripts, tools, and automation solutions to streamline virtualization processes, enhance system performance, and boost operational efficiency.
- Collaborate closely with a cross-functional, motivated team of three engineers located in the US and Canada
- Utilize Golang, Linux, Kubernetes, bash, LibVirt, KVM, Python, MySQL
- Solve interesting and complex problems in a technically rewarding environment
- Proven track record. 7+ years of experience developing, deploying, and managing distributed systems
- Familiarity with concurrency and parallelism models in a modern programming language
- Bonus: experience with gRPC, LibVirt, Kubernetes
- Cultivate your skills, learn languages, and team up with an agile, self-motivated group of peers to design, develop, test and deploy software in modern tools and languages such as Go
- Share responsibility for maintaining the availability and performance of core compute products
- Solve interesting problems of complexity and scale in a technically rewarding environment
- $168,000 - $210,000
*This is a remote role
#LI-Remote
- 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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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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Employees work remotely.
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.
