QA Engineer - Fixed Term (With Expected Conversion to Permanent)

WHO WE ARE

At Nova Credit, we’re on a mission to power financial inclusion globally, building a unified platform for credit and financial data that meaningfully impacts lives. Our software engineers develop innovative solutions that incorporate data integrations and advanced analytics into seamless user experiences, transforming diverse data into actionable risk insights. 

Join us to help unlock economic opportunities for consumers historically excluded from traditional credit systems. We foster a dynamic, inclusive environment that values diversity, intellectual honesty, and innovation, committed to supporting your professional growth.

OUR TECHNOLOGY STACK

We leverage Node.js, React, TypeScript, Python, PostgreSQL, and AWS to bring our products to life.

THE OPPORTUNITY

We're seeking a QA Engineer with 5+ years of experience to own our end-to-end testing processes and drive quality assurance for new software and analytical product features. You'll reduce cycle time through test automation, shift testing left by partnering with engineers at code review and QA, and manage pre-launch testing for complex deployments. Success in this role means delivering measurable impact quickly. This requires strong SQL skills, experience with monitoring tools like DataDog, and a bias toward shipping quick wins (while demonstrating vision for long-term strategies).

This is a 6 month contract-to-hire role reporting to our Head of Technical Program Management. This is a remote friendly role, but those in the NYC metropolitan or SF Bay areas are preferred. 

Nova Credit offers a dynamic and inclusive work environment where you can meaningfully impact the lives of people historically excluded from the credit system. We value diversity, intellectual honesty, and innovation and are committed to supporting our team members' professional growth and development. If you're passionate about leveraging technology to drive financial inclusion, we want to hear from you!

CORE RESPONSIBILITIES:

• Develop, maintain, and execute automated and manual test plans, including functional, integration, and regression testing, balancing comprehensive coverage with speed and reliability 
• Drive quality assurance process for new feature launches (for both software and analytical product) through both pre-launch and post-launch activities to minimize defects and drive customer outcomes 
• Lead cross-functional problem-solving efforts with Customer Support, Consumer Operations and Engineering to resolve complex technical issues and architect solutions
• Own and optimize QA metrics and reporting frameworks to enhance developer experience and product outcomes 
• Identify opportunities to proactively mitigate quality issues before they escalate

WITHIN THE FIRST MONTH, YOU'LL:

• Develop a comprehensive understanding of Nova Credit's products, business model, customer segments, technical architecture, and existing testing and QA systems
• Become proficient with our existing testing and QA systems, as well as advanced troubleshooting methodologies
• Identify and implement 1-2 quick win improvements to existing testing process demonstrating immediate measurable impact in quality and speed of delivery

TO MOVE TO A FULL HIRE, YOU'LL:

• Demonstrated value of the QA function through measurable improvement in our key metrics: reduced PR cycle time and change failure rate by implementing best practices within Nova’s testing frameworks 
• Identified and begun implementing adjustments to Nova’s quality assurance process for new feature launches, with a clear direction on which improvements will drive greater speed and success in the next 12 months 
• Help shape engineering initiative prioritization within roadmaps by effectively advocating for platform-wide testing hardening efforts 

YOUR SKILLSET:

• 5+ years of experience in QA engineering, test engineering, or related software engineering roles within SaaS, FinTech, or similar environments
• Strong proficiency with data analysis tools (SQL, Mixpanel, etc.) and log analysis and monitoring tools (Datadog, Splunk, etc.)
• Strong automation mindset - you