Jobs · Washington

Senior Engineer I, Compute

DigitalOcean · Seattle, WA · 1 wk ago
Hybrid$139k–$174k/yrFull-time

About the role

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. We are looking for a Senior Software Engineer I who is passionate about building features that you and your peers will love. As a Senior Software Engineer I, reporting to Mavis Franco (Manager, Software Engineering) at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. In this role, you will lead complex technical initiatives across our distributed control plane, building high-throughput microservices and core infrastructure products. You will tackle deep systems-level challenges using Go, mentor rising engineers, and drive technical execution across our low-latency distributed control plane to power the next generation of cloud compute services.

Responsibilities

  • Design and implement high-performance distributed control plane services using Go in order to ensure low-latency and fault-tolerant orchestration across core compute infrastructure.
  • Lead technical execution for complex project workstreams from design to release in order to deliver predictable business outcomes on targeted timelines.
  • Develop scalable microservice interfaces using gRPC and REST in order to streamline communication and maintain reliable service contracts across distributed systems.
  • Mentor junior and mid-level engineers through technical guidance and structured code reviews in order to elevate team execution and code quality standards.
  • Solve complex distributed systems edge cases and operational bottlenecks in order to optimize platform resilience and maximize system uptime.
  • Identify structural process and architectural inefficiencies in order to continuously refine

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