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Coinbase

Software Engineer Intern

Hybrid - San Francisco, CAinternshipinternAdded 3 days ago

About this role

Join Coinbase as a 12-week summer 2027 intern to build crypto-forward products and features across product or core engineering teams. You'll ship production code, own projects end-to-end, and work on web-scale and blockchain challenges in a hybrid San Francisco or New York environment.

What you'll do

  • Write high-quality, production-ready code that directly impacts Coinbase customers
  • Own a defined project from scoping through implementation and launch over 12 weeks
  • Collaborate with engineers, designers, and product managers to deliver features
  • Participate in code reviews and provide constructive feedback to raise team quality standards
  • Learn and apply blockchain and crypto domain concepts to real engineering problems
  • Utilize generative AI tools responsibly to improve workflow efficiency and quality

What they're looking for

  • Programming in any language (Python, Java, Go, JavaScript, etc.)
  • Problem-solving and breaking down ambiguous technical problems
  • Web development, mobile development, backend systems, or infrastructure experience
  • Generative AI tools and copilots (LibreChat, Gemini, Glean)
  • Code review and collaborative feedback practices
  • Production code shipping and testing practices
  • Blockchain or crypto domain knowledge (preferred)

Benefits

  • Hybrid work arrangement with quarterly in-person surge sessions
  • Potential full-time remote-first return opportunity after internship
  • Work on products impacting millions of users and billions in assets
  • Mentorship from experienced engineers in crypto and fintech
  • Exposure to large-scale distributed systems and blockchain technology
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Coinbase

Coinbase builds cryptocurrency and financial services infrastructure, with a focus on internal platforms, developer tools, and compliance systems. The company is hiring software engineers, platform engineers, and analytics engineers to enhance developer infrastructure, support operations, power compliance workflows, and deliver data analytics solutions.

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Likely interview questions

  • Tell us about a time you broke down an ambiguous problem into concrete implementation steps. What was the outcome?
  • How have you used generative AI tools in your coding workflow, and what challenges or best practices did you discover?
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