We want people who are passionate about helping developers build, deploy, and bring their idea to life.
DigitalOcean’s product engineering organization enables customers to easily build highly scalable creative applications and services on our cloud platform. We serve a passionate developer community that has grown to love our intuitive simple design, easily configurable infrastructure, and intuitive tutorials helping craft and run their software in the cloud.
As an engineer on the DigitalOcean Kubernetes team, you will be responsible for continuing to build the DigitalOcean Kubernetes product. You’ll be a member of a global team building a Kubernetes platform to enable developers to easily deploy and orchestrate their containerized workloads.
What You’ll Be Doing:
- Developing the DigitalOcean Managed Kubernetes product.
- Collaborating to build intuitive, delightful experiences for developers as they engage with DigitalOcean.
- Developing back-end gRPC services written in Go deployed on Kubernetes.
- Designing back-end services and authoring engineering design documents.
- Breaking the design documents into actionable epics and stories with estimates.
- Independently lead projects
- Running experiments to optimize user experience and increase adoption of DOKS.
- Contributing to and maintaining open-source projects, and collaborating with our developer community through customer meetings, blogs, and podcasts.
- Finding emerging tools, trends, and methodologies and showing your team how to integrate them against existing systems and processes.
- Ability to navigate the complexity of distributed systems to operate them in production.
- Regular interactions with important customers to understand their needs in the product
- Contributing meaningfully to discussions on architectures, implementations, design patterns, and processes with the ability to succinctly convey ideas to peers and mentees.
- Experience working on teams that operate across multiple time zones.
What We’ll Expect From You:
- Exemplify DigitalOcean values.
- Experience working with complex distributed systems
- Experience with Go, Kubernetes, and Docker.
- Language: Demonstrated ability to develop, test, ship, maintain, and operate production-ready code and systems. (Go experience is a requirement, 3 years + is desired).
- Software engineering experience 7 years+
- Experience hosting Kubernetes clusters at scale
- Experience with API development and interactions with data stores such as MySQL.
- Experience with custom Kubernetes controllers and CRDs
- Passion for shipping well-engineered and tested code.
- Strong analytical, communication, and organizational skills.
- A strong interest and obsession with building quality software focused on enabling developers to iterate on their ideas.
- A self learner mentality
- Experience in Agile software development methodologies.
- Experience working within a microservice architecture, with knowledge of both asynchronous, event-driven processing, and synchronous gRPC/HTTP-based requests.
- Be comfortable working in a fast paced engineering organization
- Highly desirable skills/experience include:
- Network engineering experience (cilium experience preferred)
- Experience integrating AI automation into a managed Kubernetes platform
- CI/CD experience with a focus on quality and developer velocity
- Experience writing technical blog posts/articles for the community
- Genuine interest in DigitalOcean as a company and excitement to use our products in your projects (if you haven’t already!)
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 $180,000 - $250,000 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
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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.
