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Software Engineer II, Verifications Decisioning

Remote / Online - Candidates ideally in
Coos Bay, Coos County, Oregon, 97458, USA
Listing for: Upstart
Remote/Work from Home position
Listed on 2026-02-28
Job specializations:
  • Software Development
    Backend Developer, Machine Learning/ ML Engineer, Software Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 196600 USD Yearly USD 196600.00 YEAR
Job Description & How to Apply Below

Employer Industry: Financial Technology (Fin Tech)

Why consider this job opportunity:
  • Anticipated base salary range: up to $196,600
  • Target bonuses and equity compensation included in the total compensation package
  • Generous 401(k) plan with company matching contributions
  • Comprehensive medical, dental, and vision coverage, with Upstart covering 90% to 100% of costs
  • Paid family and parental leave, along with other generous paid time off policies
  • Flexibility to work remotely while still engaging in team-building and collaboration opportunities
What to Expect (Job Responsibilities):
  • Design and build backend services that facilitate verification orchestration and automated approval decisions
  • Develop and enhance rule engines and decisioning systems for increased automation across products
  • Integrate external data providers into resilient and scalable workflows
  • Improve document automation pipelines, including classification and fraud detection systems
  • Collaborate with machine learning engineers to product ionize risk models and ensure decision correctness
What is Required (Qualifications):
  • 4+ years of professional software engineering experience
  • Proficiency in designing and building scalable backend systems using languages such as Java, Kotlin, Go, or Python
  • Experience with distributed systems, including service-to-service APIs and event-driven architectures
  • Proven experience in developing a decision engine that integrates with machine learning models
  • Bachelor’s degree in Computer Science or equivalent practical experience
How to Stand Out (Preferred Qualifications):
  • Experience in building rule engines, decisioning systems, or risk evaluation platforms
  • Familiarity with financial services, lending, fraud detection, or identity verification systems
  • Experience integrating third-party APIs and external data providers
  • Knowledge of workflow orchestration systems (e.g., Temporal)
  • Exposure to Kafka or event-driven systems

#Financial Technology #Software Engineering #Remote Work #Career Growth #Competitive Benefits

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