As a QA Engineer, you will ensure product quality through testing, design test cases, validate functionality, and document issues while collaborating with the development team.
About Truv
Truv is transforming the financial data industry with a secure and real-time API platform for payroll account access. Our technology streamlines income and employment verification, direct deposit switching, and more, eliminating outdated processes and unlocking greater financial opportunities. Backed by $30M from top investors like Kleiner Perkins and NYCA, we're disrupting a $2B legacy market with cutting-edge innovation and a customer-first approach. Our leadership team brings expertise from industry giants like Apple, Carta, Venmo, MX, and Okta, driving the future of financial data access.
About the Job
We're seeking a QA Engineer to ensure product quality through comprehensive testing. You'll design test cases, validate functionality, document issues, and collaborate with the development team throughout the product lifecycle.
What You’ll Do
- Execute manual functional, regression, and smoke testing for web products
- Design and maintain test documentation (test cases, checklists, reports)
- Test features throughout development, release, and post-launch phases
- Reproduce and document bugs with clear descriptions
- Collaborate with developers and product managers to resolve issues
- Provide quality feedback and test reports
Who You Are
- 2+ years QA experience
- Proficiency in testing methodologies (regression, smoke, exploratory)
- Knowledge of test design techniques (black/white box, equivalence partitioning, boundary value analysis)
- Understanding of SDLC and QA's role within it
- Experience with Agile/Scrum environments
- Strong analytical skills and attention to detail
- Meticulous eye for detail — you catch edge cases, inconsistencies, and subtle defects that are easy to overlook
- Passion for learning and professional growth in QA
- Exceptional attention to detail
Preferred skills
- API testing experience (e.g., Postman)
- Basic programming knowledge (Python or similar)
- Experience with AI tools
- Interest in test automation
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