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Rogo

Software Engineer: Backend

New York CityfulltimemidAdded today

About this role

Join Rogo as a Backend Engineer to build AI-powered infrastructure for enterprise finance platforms serving top investment banks and private equity firms. You'll design scalable APIs, distributed systems, and secure services that handle sensitive financial data at massive scale.

What you'll do

  • Architect REST and gRPC APIs with stable, scalable server implementations and asynchronous code
  • Design and build large-scale infrastructure for crawling, ranking, and retrieval systems
  • Implement security and compliance practices for handling sensitive financial data
  • Write well-tested, maintainable, and performant code
  • Raise code quality and reliability standards across the team
  • Ship and scale products serving enterprise clients

What they're looking for

  • Strongly typed languages (Rust, C++, Java, or similar)
  • Distributed systems design and scaling
  • REST and gRPC API development
  • Asynchronous programming
  • Protocol buffers and interface definition languages
  • Security and compliance best practices
  • Software testing and code review
  • Cloud infrastructure and deployment

Benefits

  • Work on AI at the frontier of financial technology
  • Join a high-talent-density team with industry experts
  • Own significant product surface area and real impact
  • Early-stage startup with strong market adoption and investor backing
  • Opportunity to solve technically demanding, consequential problems
  • Collaborate with leading financial institutions globally
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Rogo

Rogo builds a financial AI platform with a focus on data-driven insights and user experience. The company is hiring Analytics Engineers to develop data pipelines and reporting tools, and Design Engineers to enhance its design system and user interactions.

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Likely interview questions

  • Describe your experience building and scaling distributed systems. What was the largest system you've owned, and what challenges did you face?
  • Walk us through your approach to designing a high-performance API that handles sensitive financial data. What security considerations would you prioritize?
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