Jobs · Engineering

Sr Software Engineer - Lending Platform

Upstart · United States · 1 wk ago
RemoteRemoteEngineering$167k–$231k/yrFull-time

The Team

The Team

How you'll make an impact

  • Design, build, and operate distributed, event-driven systems that power accounting close automation and capital risk workflows.
  • Deliver scalable data processing solutions that transform high-volume financial events into accurate, reliable business outcomes.
  • Partner closely with Product, Data Analytics, Finance, and Engineering teams to define technical solutions for complex financial processes.
  • Improve the reliability, scalability, and maintainability of critical financial systems while thoughtfully managing technical debt.
  • Lead multi-quarter engineering initiatives from architecture through production, balancing long-term platform investments with business priorities.
  • Leverage AI-assisted development tools to improve engineering productivity while maintaining high standards for quality, security, and correctness.

Minimum Qualifications

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience).
  • 4+ years of professional software engineering experience building and operating production systems. (L5 standard).
  • Experience designing and building distributed, event-driven applications in cloud environments such as AWS.
  • Experience developing scalable backend services that process large volumes of data using modern programming languages.
  • Experience designing, testing, and deploying reliable production systems using software engineering best practices.

Preferred Qualifications

  • Knowledge of financial systems, accounting processes, or capital risk management.
  • Experience building high-throughput data processing or event streaming platforms.
  • Ability to design systems that balance scalability, maintainability, and long-term operational efficiency.
  • Experience collaborating across engineering, product, analytics, and business stakeholders to deliver complex technical initiatives.
  • Curiosity for applying generative AI tools to accelerate software development and improve engineering effectiveness.

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