Sr Software Engineer - Lending Platform
New
U
UpstartFinancial Technology
Most employees live and work throughout the U.S. or Canada (outside Quebec)Full-TimeSenior
Salary$166,900 — $230,900 USD (US) | $153,000 — $190,000 USD (Canada)
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Job Details
- Experience
- 4+ years of professional software engineering experience
- Required Skills
- AWSBackend DevelopmentCloud ComputingDistributed Systems
Requirements
- 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.
- 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.
- Knowledge of financial systems, accounting processes, or capital risk management (Preferred).
- Experience building high-throughput data processing or event streaming platforms (Preferred).
- Ability to design systems that balance scalability, maintainability, and long-term operational efficiency (Preferred).
- Experience collaborating across engineering, product, analytics, and business stakeholders (Preferred).
- Curiosity for applying generative AI tools (Preferred).
Responsibilities
- 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.
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