Senior Engineer II, App Platform

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Denver, CO
Hybrid
Cloud • Enterprise Web • Software • Infrastructure as a Service (IaaS)
DigitalOcean is the Inference Cloud built for production AI.
The Role
We want people who are passionate about creating products that you and your peers would love.

As a Senior Engineer on the Application Platform team, the software you write will power applications for over a million users around the globe. You will define the next generation of cloud services, making developers' lives (both inside DO and in the 'wild') easier by building new services that improve our efficiency and also provide important new features for our customers. If your passion is building products customers rely on every day, this is the right job for you. 

What You'll Be Doing:
  • Contributing to the development of new architecture and major functional upgrades for our Application Platform offering.
  • Work with our product teams to build the next generation of products and services for our developers community.
  • Drive architecture for complex systems by determining current limitations and working with the team to come up with solutions.
  • Contribute operational reliability as a member of the product on-call rotation.
  • Technologies we use: Kubernetes, Go, gRPC, MySQL, Istio, Prometheus, Cloud Native Buildpacks.
What We'll Expect From You:
  • Experience as a software engineer, developer, or programmer building software used by 1000s of users.
  • Proficiency in software development methodologies.
  • Experience or interest in learning Golang to build APIs (gRPC).
  • Operational knowledge of Kubernetes is a plus, or passion to learn Kubernetes operations.
  • Experience in Software Defined Networks (SDNs) is a plus, but not required.
  • Ability to navigate the complexity of distributed systems to operate them in production.
  • Contribution to the reliability and performance of App Platform systems.
  • Ability to contribute throughout all phases of a service lifecycle from conception through design, development, deployment and ultimately operation
  • A commitment to monitoring and observability.
  • Systems thinking.
  • Strong opinions, weakly held.
  • Experience operating Kubernetes in production at large scales.
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 $140,000 - $210,000 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

 

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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