Upstart is a leading AI lending marketplace focused on reducing the cost and complexity of borrowing for all Americans. As a Senior Software Engineer, you will design and build scalable backend systems that improve origination workflows and support Upstart’s platform evolution.
Responsibilities:
- Design and build scalable backend services and platform capabilities that support origination workflows across multiple products and lending partners
- Improve the reliability, observability, and operational resilience of critical origination systems and APIs
- Refactor and decouple legacy systems to create reusable, product-agnostic platform infrastructure that scales across partner and product types
- Build orchestration and workflow solutions that streamline partner onboarding, reduce manual operational work, and improve system consistency
- Collaborate closely with Engineering, Product, Lending Partnerships, Compliance, Legal, and Loan Sales teams to deliver secure and scalable lending experiences
- Drive technical design discussions, author design documents, and contribute to engineering best practices for system quality, monitoring, and operational excellence
- Use AI-assisted development tools and automation thoughtfully to improve engineering productivity and reduce repetitive workflows
- Participate in operational support and incident response, helping identify root causes and implement long-term system improvements
Requirements:
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (or its equivalent) and 4+ years of software engineering experience
- 6+ years of experience building and operating backend services, APIs, or data-intensive systems in production environments
- Experience owning software through the full development lifecycle, including design, implementation, deployment, monitoring, and on-call support
- Proficiency with at least one modern backend development framework or programming language; experience with Ruby on Rails or the ability to ramp quickly in a Ruby-based codebase
- Experience designing distributed systems, service integrations, or workflow-based architectures that support scalability and reliability
- Experience working in fintech, lending, banking, or capital markets environments with high expectations for data accuracy, auditability, and system reliability
- Knowledge of orchestration platforms or workflow engines such as Temporal
- Ability to identify operational inefficiencies and build scalable automation or self-service tooling to improve engineering workflows
- Skills in system observability, incident analysis, and production monitoring practices
- Experience using AI-assisted development tools, automation frameworks, or AI agents to improve software engineering productivity and operational efficiency