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Role Description

This role provides the opportunity to design, build, and scale backend systems that power automated verification, fraud detection, and approval decisioning workflows. You will work on distributed services that integrate with machine learning models, third-party data providers, and internal rule engines to ensure accurate, compliant, and highly automated lending decisions. The position involves close collaboration with cross-functional teams to optimize verification processes, enhance automation coverage, and contribute to the development of next-generation decisioning platforms. This is an ideal role for engineers who enjoy tackling complex backend challenges, improving system reliability, and building scalable solutions that directly impact customer experiences. You will have the chance to influence both technical architecture and operational excellence in a dynamic, digital-first environment.

• Design and implement backend services that power verification orchestration, risk evaluation, and automated approval decisions
• Develop and maintain rule engines and decisioning systems to increase automation across products
• Integrate third-party data providers and APIs into scalable, resilient workflows
• Improve document automation pipelines, including classification, extraction, and fraud detection systems
• Build and maintain APIs, Kafka events, and service contracts to enable product teams to consume verification capabilities
• Partner with ML engineers to productionize risk models and ensure decision correctness at scale
• Contribute to platformization efforts to standardize verification stages and enable cross-product reuse
• Strengthen compliance, data integrity, and observability across verification systems

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent experience)
• 3+ years of experience designing and building scalable backend systems in languages such as Java, Kotlin, Go, or Python
• Experience developing and operating distributed systems, service-to-service APIs, and event-driven architectures
• Hands-on experience with decision engines and integrating machine learning models into production systems
• Proven ability to write production-quality code with testing and monitoring practices
• Preferred: experience with rule engines, fraud detection, financial services, lending platforms, identity verification, workflow orchestration (e.g., Temporal), or Kafka/event-driven systems
• Strong problem-solving, collaboration, and communication skills to work effectively in cross-functional teams

Benefits

• Competitive base salary ($142,000—$196,600 USD), with potential bonuses and equity grants
• Comprehensive healthcare, dental, and vision coverage, with Health Savings Account contributions for eligible plans
• Generous 401(k) plan with company matching
• Paid time off, sick leave, parental leave, and company holidays
• Remote-first work flexibility with access to in-person team events and office amenities
• Annual wellness and productivity allowances to support personal and professional development
• Employee Assistance Program (EAP) offering mental health and life-centered resources
• Inclusive, diverse, and collaborative workplace environment