Software Engineer, Verifications Platform

Upstart

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $142,000–$196,600 / yr
Posted: 103 days ago
Closes: Sep 1, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $168k

This role $169k

$115k most similar roles pay here $211k

This role pays more than 51% of similar roles. Most pay $134,145–$202,000 — the shaded band above. At the midpoint, this role pays about $169k versus about $168k for comparable roles.

Based on 240 similar postings.

Employer

About Upstart

Upstart is an AI lending platform that partners with banks and credit unions to expand access to affordable credit using non-traditional variables.

Upstart currently has 40 open roles on FindRole.

Listed pay typically runs $177,200–$245,400 across 40 roles with salary data.

Most-posted roles

View all roles at Upstart

At a glance

TL;DR

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As a Software Engineer on Upstart’s Verifications Decisioning Engineering team, you will design and build scalable backend services that power automated verification workflows, fraud detection systems, and approval decisions. You’ll work on distributed systems integrating with third-party data providers like Plaid, machine learning models, and internal rule engines to ensure accurate and compliant lending decisions. Your day-to-day responsibilities include developing resilient APIs, Kafka events, and service contracts for product teams, improving document automation pipelines, and collaborating with underwriting and verification teams to streamline financial data usage. You will also contribute to platformization efforts to standardize verifications stages across products, ensuring compliance, data integrity, and observability in all systems. The role requires experience with Java, Kotlin, Go, or Python, as well as expertise in distributed systems, service-to-service APIs, and event-driven architectures.

Skills

Java Kotlin Go Python Docker Kafka Temporal Plaid PostgreSQL AWS CI/CD Maven Gradle Swagger JUnit Mockito Git Jenkins GitHub Slack

What you'll do

Design and build backend services for verification orchestration and risk evaluation.
Develop rule engines to increase automation coverage across lending products.
Integrate third-party data providers into resilient, scalable workflows.
Improve document automation pipelines including fraud detection systems.
Build APIs and Kafka events enabling product teams to consume verification capabilities.

What we're looking for

4+ years of professional software engineering experience with a Bachelor's degree in Computer Science.
Experience designing and building scalable backend systems using Java, Kotlin, Go, or Python.
Proficient in developing and operating distributed systems including service-to-service APIs and event-driven architectures.
Expertise in contributing to decision engines that integrate machine learning models for signal evaluation.
Strong background in writing production-quality code with comprehensive testing and monitoring practices.

Software Engineer

Global Payments (TSYS)

AN, China 35 days ago

Java Python .NET Ruby COBOL Assembler HTML JavaScript jQuery CICS Node.js React.js Angular Redux Eclipse Visual Studio Webpack Babel Gulp iOS Android Tensorflow DMTK Oracle MySQL MS SQL Server IMS DB2 Hadoop

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