QA Engineer
Software Engineer AI-Powered Debt Management Platform (Remote)
Join a team building the infrastructure that helps consumers take control of their debtand do it faster and smarter with AI. Were building a platform that helps consumers manage their debtfrom finding better loans to understanding and optimizing their repayment plans. The platform is live, revenue-generating, and growing fast. Backed by a recent Series A, were expanding our team to deliver on an ambitious product roadmap. Spinwheel is transforming how consumers understand and manage their debtfrom real-time credit data to intelligent repayment tools. The platform is live, revenue-generating, and growing fast. Backed by a recent Series A, were expanding our team to deliver on an ambitious product roadmap.
What Youll Do
Design and execute manual and automated test cases across our APIs, webhooks, and backend services
Collaborate with developers to improve test coverage and shift quality left in the development lifecycle
Validate the integrity and performance of data across systems, especially MongoDB and other document stores
Analyze API response times, error rates, and regressions as part of performance testing
Manage QA automation scripts and documentation using Bitbucket and Git workflows
Contribute to our CI/CD processes by integrating automated tests into pipelines
Participate in Agile ceremonies and work closely with product managers and developers to ensure high-quality releases
Document, report, and track bugsensuring clear communication and timely resolution
How Youll Use AI
Generate test cases based on user stories, APIs, or system logs
Summarize logs and trace data to identify root causes faster
Automate repetitive testing tasks, from regression runs to report generation
Monitor test results, highlight anomalies, and track flaky tests more effectively
Create and maintain documentation, bug reports, and user flows with AI support
Suggest improvements to test coverage or platform observability using AI-generated insights
You Might Be a Fit If You
Have 34+ years of experience in QA or test automation roles
Are comfortable working across manual and automated testing environments
Have experience with JavaScript-based testing and tools like Postman, ApiDog, or similar
Are familiar with MongoDB and validating data in document-based systems
Use Git and Bitbucket for version control and have experience integrating tests into CI/CD pipelines
Thrive in cross-functional teams, communicate clearly, and enjoy solving root-cause problems
Are excited to work with AI tools to improve test velocity and impactnot just because its trendy
Logistics
Level: Mid-level QA Engineer
Location: Fully remote (U.S. time zones preferred)
Stack: JavaScript, MongoDB, Bitbucket, Postman, CI/CD (Bitbucket Pipelines, etc.)
Culture: Ambitious, collaborative, AI-forward, and consumer-focused
Spinwheel is the future of consumer credit data and payments. If you're passionate about quality, automation, and building systems that help people make better financial decisionslets talk.
About the job
Apply for this position
QA Engineer
Software Engineer AI-Powered Debt Management Platform (Remote)
Join a team building the infrastructure that helps consumers take control of their debtand do it faster and smarter with AI. Were building a platform that helps consumers manage their debtfrom finding better loans to understanding and optimizing their repayment plans. The platform is live, revenue-generating, and growing fast. Backed by a recent Series A, were expanding our team to deliver on an ambitious product roadmap. Spinwheel is transforming how consumers understand and manage their debtfrom real-time credit data to intelligent repayment tools. The platform is live, revenue-generating, and growing fast. Backed by a recent Series A, were expanding our team to deliver on an ambitious product roadmap.
What Youll Do
Design and execute manual and automated test cases across our APIs, webhooks, and backend services
Collaborate with developers to improve test coverage and shift quality left in the development lifecycle
Validate the integrity and performance of data across systems, especially MongoDB and other document stores
Analyze API response times, error rates, and regressions as part of performance testing
Manage QA automation scripts and documentation using Bitbucket and Git workflows
Contribute to our CI/CD processes by integrating automated tests into pipelines
Participate in Agile ceremonies and work closely with product managers and developers to ensure high-quality releases
Document, report, and track bugsensuring clear communication and timely resolution
How Youll Use AI
Generate test cases based on user stories, APIs, or system logs
Summarize logs and trace data to identify root causes faster
Automate repetitive testing tasks, from regression runs to report generation
Monitor test results, highlight anomalies, and track flaky tests more effectively
Create and maintain documentation, bug reports, and user flows with AI support
Suggest improvements to test coverage or platform observability using AI-generated insights
You Might Be a Fit If You
Have 34+ years of experience in QA or test automation roles
Are comfortable working across manual and automated testing environments
Have experience with JavaScript-based testing and tools like Postman, ApiDog, or similar
Are familiar with MongoDB and validating data in document-based systems
Use Git and Bitbucket for version control and have experience integrating tests into CI/CD pipelines
Thrive in cross-functional teams, communicate clearly, and enjoy solving root-cause problems
Are excited to work with AI tools to improve test velocity and impactnot just because its trendy
Logistics
Level: Mid-level QA Engineer
Location: Fully remote (U.S. time zones preferred)
Stack: JavaScript, MongoDB, Bitbucket, Postman, CI/CD (Bitbucket Pipelines, etc.)
Culture: Ambitious, collaborative, AI-forward, and consumer-focused