DigitalOcean Offices

DigitalOcean is headquartered in Broomfield and has 3 office locations.

Remote Workplace

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.


U.S. Office Locations

Global Office Locations

HQ

Broomfield

105 Edgeview Drive, Suite 425, Broomfield, CO, United States, 80021

Bellevue

Seattle, WA

10700 Northup Way, Bellevue, Washington, United States, 98004 4163

Hyderabad

22nd Floor, Orbit, Plot No 30/C, Sy No 83/1, Hyderabad Knowledge City, Raidurg Panmaktha, Serilingampally Mandal, Hyderabad, Telangana, India, 500019

Recently posted jobs

2 Hours AgoSaved
In-Office
Bengaluru, Bengaluru Urban, Karnataka, IND
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Design, build, and operate DigitalOcean BaaS products. Develop distributed systems and customer-facing managed database features, author technical designs, implement APIs in Go, mentor engineers, provide last-line support, and integrate platform components using Kubernetes, Docker, Kafka, Temporal, gRPC, and observability tooling.
2 Hours AgoSaved
In-Office
Bengaluru, Bengaluru Urban, Karnataka, IND
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Design and implement infrastructure security at scale, detect and remediate vulnerabilities and misconfigurations across cloud, VMs, containers, and Kubernetes; manage vulnerability programs, security monitoring (SIEM), WAF, and cloud hardening; collaborate with engineering teams to embed secure architectures and automated detection/remediation workflows.
YesterdaySaved
In-Office
Seattle, WA, USA
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Lead applied research and engineering for feedback-driven agentic AI: define reward modeling and reinforcement learning roadmap, design production learning loops and evaluation frameworks, run large-scale experiments, and ship research into production while partnering across product and engineering.