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Discord

Software Engineer, Consumer Revenue

San Francisco Bay Area$160k–$200kfull-timemidAdded today

About this role

Join Discord's Consumer Revenue team to build premium features like Nitro, shop, and boosting for millions of users. You'll work full-stack across web, mobile, and backend systems, partnering with product and design teams to create high-value experiences that drive Discord's revenue while maintaining platform quality.

What you'll do

  • Build and enhance premium Discord features including Nitro, shop, boosting, and user identity systems
  • Own projects end-to-end from requirements refinement through technical spec creation to final delivery
  • Collaborate cross-functionally with Product, Design, Data Science, and Marketing teams
  • Ship full-stack features across Web (React), Android, and iOS platforms
  • Lead complex initiatives through conception and completion in ambiguous environments
  • Rapidly prototype features and gather insights through experimentation

What they're looking for

  • React and React Native
  • Python backend development
  • TypeScript
  • Full-stack web development
  • React performance optimization
  • Client-server performance optimization
  • Mobile development (Kotlin, Objective-C, Swift)
  • Product sense and user empathy

Benefits

  • Equity compensation
  • Health and wellness benefits
  • Work on a platform with millions of daily active users
  • Collaborative cross-functional environment
  • Autonomy and ownership of impactful projects
  • Support from infrastructure and platform teams
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Discord

Discord builds a real-time communication platform serving millions of daily active users, with infrastructure handling trillions of messages across gaming and community use cases. The company is hiring backend engineers, infrastructure specialists, and data engineers to develop distributed systems, database infrastructure, developer tools, and large-scale data platforms that power its core platform.

Website
discord.com
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Likely interview questions

  • Describe a complex full-stack project you owned end-to-end and how you navigated ambiguity to deliver it
  • How do you approach React performance optimization, and can you share a specific example where you improved performance?
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