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Software Engineer, Verifications Platform

1 month ago
United States
Full-time
Mid Level
Software Engineer
Software Development
Go Java Kafka Kotlin Machine Learning Python
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Description

  • Design and build backend services for verification orchestration, risk evaluation, and automated approval decisions.
  • Develop and evolve rule engines and decisioning systems to expand automation coverage across products.
  • Integrate external data providers into resilient and scalable verification workflows.
  • Improve document automation pipelines, including classification, extraction, and fraud detection.
  • Build and maintain APIs, Kafka events, and service contracts used by product teams.
  • Create platform capabilities for reusable financial data connections, improved observability, and connection lifecycle management.
  • Partner with underwriting and verification teams to streamline data usage and accelerate adoption of financial signals.
  • Collaborate with machine learning teams to productionize risk models and ensure decision correctness at scale.
  • Contribute to platformization efforts that standardize verification stages and enable cross-product reuse.
  • Strengthen compliance, data integrity, and observability across verification systems.

Requirements

  • Bachelor's degree in Computer Science and 4+ years of professional software engineering experience.
  • Experience designing and building scalable backend systems in Java, Kotlin, Go, or Python.
  • Experience developing and operating distributed systems, including service-to-service APIs and event-driven architectures.
  • Experience contributing to a decision engine that integrates with machine learning models to evaluate signals.
  • Experience writing production-quality code with testing and monitoring.
  • Experience building rule engines, decisioning systems, or risk evaluation platforms is preferred.
  • Experience working with financial services, lending, fraud detection, or identity verification systems is preferred.
  • Experience integrating third-party APIs and external data providers is preferred.
  • Familiarity with workflow orchestration systems such as Temporal is preferred.
  • Experience working with Kafka or event-driven systems is preferred.
  • Exposure to ML model integration in production systems is preferred.
  • Experience working with financial data platforms, connection lifecycle management, or reusable data access systems is preferred.
  • Familiarity with multi-account, multi-product, or consent-aware financial data workflows is preferred.

Benefits

  • Base salary range of $142,000 to $196,600 USD for U.S. remote roles.
  • Target bonuses and annual equity compensation.
  • 401(k) or Group Retirement Savings Plan with company match of $2 for every $1 contributed, up to $15,000 annually.
  • Employee Stock Purchase Plan with discounted stock purchase options for eligible employees.
  • Comprehensive health coverage, including medical, dental, vision, and wellness resources, plus supplemental health coverage in Canada.
  • Health Savings Account contributions for eligible U.S. plans.
  • Life insurance and disability coverage.
  • Paid time off, sick leave, and company holidays.
  • Paid family and parental leave, plus fertility, parenthood, and caregiving support.
  • Employee Assistance Program with mental health support and life resources.
  • Financial wellness resources, including financial planning tools and a financial concierge service.
  • Annual wellness allowance and annual productivity allowance.
  • Remote-first work with regular in-person onsites.
  • Onsite perks such as catered lunches and stocked micro-kitchens at office locations.

Interested in this position?

Apply directly on the company website

Apply Now

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