Senior Quality Assurance Testing Engineer

About The Role

We're looking for a Senior QA Engineer with 7+ years of experience across the full stack. Your strength is backend QA - integration testing, system-level validation, and data quality across connected services, but you also own frontend and end-to-end testing of the user experience.

This role suits someone who wants to understand how the whole system fits together and why the data looks the way it does. If you are the one who goes looking for the problems that don't show up on the happy path, this is the role for you. You'll work closely with developers, product managers, and designers to test how things behave from the UI through the APIs down to the data: exercising APIs, following data across services, digging into edge cases, and staying involved in quality from planning through release.

Our product changes constantly - new features ship often, and existing ones evolve based on user feedback. You'll make sure those changes hold up and ship at a high bar. Experience working with offshore teams is a plus.

Key Responsibilities

Investigation & Debugging:

• Own root-cause analysis for complex, cross-layer issues - tracking through UI -> API -> database -> dependent services rather than stopping at the surface.
• Investigate complex, hard-to-reproduce issues by piecing together information from logs, traces, and monitoring tools like Datadog and Sentry.
• Distinguish frontend from backend causes through payload, status-code, and data-flow analysis, and always ask "what would I check next?"

API, Integration & Data Validation:

• Create and execute integration test strategies for backend services and third-party APIs, validating how components interact across systems.
• Use tools like Postman to explore, document, and validate APIs against functional, performance, and edge-case requirements.
• Comfortable reading and querying the database (PostgreSQL, MySQL, etc.) to verify the application behaves correctly — understanding how data is structured across tables and confirming it matches what the system should have done.
• Get involved early in design discussions to ensure testability and reliability across the stack.

Collaboration & Communication:

• Partner with engineering, product, and design teams to fully understand business logic, technical architecture, and domain-specific use cases.
• Provide thoughtful, detailed bug reports with clear steps to reproduce and meaningful business context.
• Participate in sprint ceremonies (planning, grooming, retrospectives) and serve as a quality advocate throughout the development cycle.
• Ask questions, challenge assumptions, and promote a culture of continuous improvement in testing and delivery processes.

Quality Mindset & Domain Awareness:

• Approach testing with high attention to detail, proactively identifying edge cases, data anomalies, and system-level inconsistencies before they reach production.
• Demonstrate a creative and curious mindset - not just validating requirements, but actively looking for what might break or be missed.
• Embrace AI as part of the job - open to integrating AI tools into day-to-day QA workflows to test faster, dig deeper, and work smarter.
• Develop a strong understanding of the workflows across the pods you support to better anticipate risk areas and ensure domain-appropriate validation.
• Own quality end to end, from requirements through post-release validation, and keep raising the bar on how thoroughly we test.

Requirements

• 7+ years of experience in backend quality assurance with strong focus on integration testing, system behavior, and data validation.
• Proficiency in API testing tools such as Postman or REST clients; able to design and execute exploratory and regression test plans.
• Strong SQL skills; experience querying relational databases and validating data across interconnected tables.
• Familiarity with asynchronous systems and contract testing concepts.
• Strong analytical thinking and debugging skills, especially in complex data-driven workflows.
• Proven ability to root-cause ambiguous failures using logs and observability tools.
• Openness to working with AI and integrating AI-assisted tools into everyday testing workflows.
• Excellent communication and documentation skills.
• Experience working with remote or offshore teams is a plus.

Compensation

Compensation for this role varies based on experience, with an indicative range of $110K–$140K + equity. Final compensation will depend on the level at which the candidate is hired, as we are considering multiple levels for this role.

• Unlimited vacation
• Health Insurance (including an option completely covered by Fora HQ)
• Dental & Vision Insurance
• Wellhub Memberships
• 401k plan with company match
• Commuter Benefits
• Supplemental Life Insurance
• Stock Options

This role is based in New York City with a hybrid WFH & office schedule (Monday, Tuesday and Thursday are our FiDi in-office days, with flexibility for Wednesday and Friday at your preference).