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Chime Financial, Inc

Software Engineer, Communication Platform

San Francisco, CA, USA$133k–$184kfull-timemidAdded 3 days ago

About this role

Chime is seeking a fullstack Software Engineer to design and scale their communication platform serving millions of members. You'll own architectural changes across backend infrastructure and mobile interfaces while collaborating with cross-functional teams to deliver high-quality financial products.

What you'll do

  • Design, develop, test, and scale changes to mobile and backend architecture for the communication platform
  • Collaborate cross-functionally to solve complex problems within the platform domain
  • Write thoroughly tested code and conduct quality assurance on all new features
  • Work independently and with teams to accelerate development velocity while maintaining user experience
  • Drive key architectural changes impacting millions of users
  • Safely implement changes to large production services without introducing regressions

What they're looking for

  • Fullstack development (minimum 3 years)
  • Backend development and frameworks
  • Mobile development and frameworks
  • GraphQL
  • Ruby
  • React Native
  • Architectural patterns for scalable production systems
  • Cross-functional collaboration

Benefits

  • Competitive bonus
  • Equity package
  • Health and wellness benefits
  • Four-day in-office work policy
  • Financial technology industry exposure
  • Opportunity to impact millions of users
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Chime Financial, Inc

Chime Financial, Inc builds financial products and services for millions of members, including earned wage access, instant loans, and membership features. The company is hiring full-stack engineers, backend service developers, trust and safety engineers, and ML platform engineers to build scalable systems powering member engagement, risk management, lending, and financial transactions.

View all jobs at Chime Financial, Inc

Likely interview questions

  • Describe your experience building fullstack systems at scale and how you've approached architectural decisions for high-volume platforms.
  • Tell us about a time you had to make changes to production code serving millions of users while minimizing risk of regressions.
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