Software Engineer, Deposits & Insights

Chime Chime · Fintech · San Francisco, CA · Spending, Saving, & Investing Engineering

Software Engineer, Deposits & Insights at Chime, a fintech company. This role focuses on building and maintaining low-latency APIs and backend services for Trust and Safety platforms, leveraging spending insights and member behavior. It involves technical design, architectural decisions, mentoring, and partnering with data engineers and product managers to ship impactful features. The role also emphasizes improving platform reliability, performance, and evolving ML integration capabilities. Experience with Ruby on Rails, transactional databases, and caching systems is required.

What you'd actually do

  1. Drive technical design and architectural decisions, while mentoring engineers and fostering cross-functional collaboration
  2. Lead and contribute to multiple projects simultaneously, balancing ownership of key initiatives with support across broader team efforts
  3. Build and maintain robust, low-latency APIs and backend services that power our Trust and Safety platforms
  4. Become the domain expert in our platform architecture, providing technical decisions and solutions to refine our maturing platforms
  5. Partner with data engineers, analysts, and product managers to ship impactful features that enhance member protection and experience

Skills

Required

  • 3+ years of experience developing software in a production environment at scale
  • Prior experience serving as a technical lead for a team and on complex projects—driving architectural decisions, coordinating execution, and aligning cross-functional teams
  • Proven experience with Ruby on Rails or comparable frameworks
  • Experience with transactional databases and caching systems
  • Deep understanding of architectural patterns for large-scale web applications
  • Commitment to mentoring engineers and fostering team development
  • An appreciation of maintainable and well-tested code

Nice to have

  • Experience in fast-paced or early-stage environments is a strong plus

What the JD emphasized

  • low-latency APIs
  • domain expert
  • ML integration capabilities