QA

Engineer

About the Role

We’re hiring a QA Engineer who does more than run test cases. You’ll be the quality conscience of our product—someone who monitors its health end-to-end, spots issues before users do, and works directly with backend engineers and the data science team to get things resolved fast. We need someone who goes beyond surface-level checks (like catching 4xx/5xx errors) and has the product intuition to identify deeper functional issues: unexpected behaviour in business logic, data inconsistencies, edge cases that slip through the cracks.

What you'll do

• Own the quality lifecycle of our product—from feature validation to production health monitoring.
• Proactively monitor product health, identify regressions, and flag issues to backend engineers and the data science team.
• Go beyond simple status-code checks: detect functional issues, data anomalies, and logic errors that automated tools miss.
• Design, build, and maintain test strategies (manual and automated) that keep pace with rapid release cycles.
• Collaborate closely with engineering and data science to define acceptance criteria and quality gates.
• Propose and drive improvements to testing processes, tooling, and coverage—don’t wait to be asked.
• Participate in sprint ceremonies, contribute to backlog refinement, and advocate for quality at every stage.

What you'll need

• 2–3+ years of hands-on QA experience in a fast-moving, agile environment.
• Strong understanding of API testing, functional testing, and production monitoring.
• Ability to spot not just errors, but functional issues—you think like a user and an engineer simultaneously.
• Experience working with backend services, REST APIs, and familiarity with common data pipelines.
• A proactive, ownership-driven mindset: you raise issues, propose solutions, and follow through.
• Comfort with agile workflows (Scrum/Kanban), CI/CD pipelines, and rapid iteration.
• Familiarity with tools like Selenium, Cypress, Postman, JMeter, or equivalent.
• Strong communication skills—you can articulate issues clearly to both technical and non-technical stakeholders.

Qualifications

• Bachelor’s / Master's Degree in CS / AI / ML /Data Science