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.