Full-time

QA Engineer

We’re hiring a QA Engineer who does more than run test cases.

Location: Delhi/Remote
Department: AI Team
Date posted: April 20, 2026
Experience: 2-3 Years

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 we 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