Jobs · Washington

Software Engineer, Automation

DigitalOcean · Seattle, WA · 1 wk ago
Hybrid$98k–$122k/yrFull-time

About the role

Join the Physical Infrastructure Engineering team at DigitalOcean to leverage AI tools & technology to automate away the manual, repetitive work that slows teams down every day. You'll partner closely with technical program managers and infrastructure teams, learn how the work happens today, and turn the manual steps into reliable automation so the organization can move faster and scale further. This role is built for engineers who default to AI-assisted development, using tools like Cursor and Claude as their primary way to build.

What You'll Do

  • Write automation primarily in Golang and Python, reaching for the right tool for the job, with AI tools as your default way to write and iterate on code
  • Partner with TPMs and infrastructure teams to understand how the work happens today, find the manual and repetitive steps, and automate them away
  • Take a workflow end to end: from spotting the toil, to building the automation, to shipping something the team can rely on
  • Work with stakeholders across infrastructure to find manual, repetitive processes and drive them toward automation
  • Contribute to tooling that powers hardware and capacity visibility across DigitalOcean's global infrastructure
  • Demonstrate your work in front of lovely groups of engineers
  • Participate in cross-functional projects that span the broader Hardware Lifecycle Engineering platform
  • Make complex automation systems simple for other groups to use and understand

What You'll Add to DigitalOcean

  • Above all else: a passion for building quickly, eliminating manual work, scaling intelligently, and collaborating openly
  • A default toward AI-assisted development (Cursor, Claude, or similar), and curiosity about getting more out of these tools as they evolve
  • Good judgment about your own work: an instinct for what needs checking, and a habit of knowing what you don't know and raising it early
  • Some exposure to Python or Go, through coursework, internships, personal projects, or early professional experience (roughly 0 to 2 years)
  • Comfort using Linux (we run Ubuntu LTS), or eagerness to get there quickly
  • Familiarity with shell scripting and git
  • Some exposure to CI/CD concepts is a plus (we use GitHub Actions and Concourse)
  • Strong written and verbal communication skills
  • Comfort working in an asynchronous, remote environment
  • Openness to constructive feedback

Pay

Compensation Range $97,600.00 - $122,000.00

Benefits

  • Reimbursement for relevant conferences, training, and education
  • Access to LinkedIn Learning's 10,000+ courses
  • Employee Assistance Program
  • Local Employee Meetups
  • Flexible time off policy
  • Equity compensation, including equity grants upon hire and the option to participate in the Employee Stock Purchase Program
  • Bonus opportunities based on company and individual performance

Schedule

This is a hybrid role

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