The Role
Own end-to-end quality assurance for an AI-powered ecommerce platform. Design and execute test plans across frontend, backend, mobile, APIs, and AI features; build and maintain automated UI, API, performance, and CI-integrated testing frameworks; conduct functional, regression, exploratory, and usability testing; track bugs and regressions; define acceptance criteria; and collaborate with product and engineering teams to deliver reliable releases.
Summary Generated by Built In
About the Company
Join the Rocketship
We’re building ShopOS — AI agents powering the entire ecommerce stack. Already past PMF, we’re scaling fast and shaping the future of how online brands are built with AI. Co-founded by seasoned builders with multiple successful exits to companies like Scapic - Flipkart & Polygon Labs, and we’re backed by Binny Bansal. This isn’t just another start up — it’s a front-row seat to the next big shift in ecommerce.
Watch: What is ShopOS (from the founders’ lens)
About the Role
As a Sr. QA Engineer at ShopOS, you’ll be the gatekeeper of product quality across our AI-first commerce stack. From zero-to-one product flows to high-scale production environments, you’ll ensure that every release meets our high standards of reliability, performance, and usability.
You’ll collaborate closely with product, design, and engineering teams to define testing strategies, build automation pipelines, and identify critical issues before they reach users. This role is perfect for someone with a sharp eye, strong user empathy, and a deep appreciation for clean, well-tested software.
What You’ll Own
- Design, write, and execute test plans and test cases across frontend, backend, mobile, and AI-driven components
- Implement and maintain test automation frameworks (for APIs, UI, and performance testing)
- Own end-to-end quality assurance across multiple product modules and services
- Collaborate with engineering and product teams to establish clear acceptance criteria and drive bug-free releases
- Proactively identify, track, and prioritize bugs and regressions using tools like Jira, Linear, or Notion
- Conduct functional, regression, performance, and exploratory testing
- Maintain and enhance CI-integrated testing suites to ensure scalable, fast feedback loops
- Test edge cases and failure states to ensure graceful degradation and system resilience
- Bring a strong voice to user experience, product usability, and business-critical flows
What We’re Looking For
- 3–5 years of experience in QA roles in product-driven engineering teams
- Strong understanding of software QA methodologies, tools, and processes
- Experience with manual and automated testing (Selenium, Cypress, Playwright, Postman, etc.)
- Proficiency in writing test cases and bug reports with clarity and detail
- Hands-on experience with testing APIs (REST, GraphQL) and web/mobile interfaces
- Familiarity with CI/CD workflows, Git, and test coverage tracking
- A sharp eye for edge cases, usability, and platform consistency
- High sense of ownership and commitment to delivering high-quality releases
Bonus Points
- Experience testing AI-integrated features, Gen AI flows, or ML-powered systems
- Knowledge of performance testing tools (e.g., JMeter, k6, Locust)
- Background in eCommerce platforms or content-rich UIs
- Familiarity with backend testing (unit/integration testing with Jest, Pytest, etc.)
- Exposure to workflow automation tools or CMS/PIM-like systems
- Ability to script and extend automation tools in Python, JavaScript, or similar
You’ll Thrive If You Are…
- Obsessive about catching bugs before users do
- A structured thinker who writes reproducible, clear test cases
- Excited by the challenge of testing AI-powered interfaces and content
- Collaborative, with strong communication across engineering and product
- Someone who balances pragmatism with perfectionism
Our Values
- Extreme ownership and bias for action
- Honest, high-velocity communication
- Respect for craft and obsession with users
- Fast, scrappy iteration over perfection
- Low ego, high empathy, radical candor
What We Offer
- Competitive salary
- Health & wellness benefits
- Work on cutting-edge AI + eCommerce problems
- Mentorship from top engineers and product builders
- Zero-bureaucracy environment with fast shipping culture
Location
We're hiring in Bangalore (HSR Layout)
💡 Why Join Us?
- Work on cutting-edge AI products redefining commerce.
- Build with founders who’ve done this before.
- Be part of a high-growth, high-impact journey.
Skills Required
- 3-5 years of experience in QA roles on product-driven engineering teams
- Strong understanding of software QA methodologies, tools, and processes
- Experience with manual and automated testing
- Experience with Selenium, Cypress, Playwright, Postman, or similar testing tools
- Proficiency in writing clear and detailed test cases and bug reports
- Hands-on experience testing REST and GraphQL APIs
- Experience testing web and mobile interfaces
- Familiarity with CI/CD workflows, Git, and test coverage tracking
- Strong attention to edge cases, usability, and platform consistency
- High ownership and commitment to delivering high-quality releases
- Experience testing AI-integrated features, generative AI flows, or ML-powered systems
- Knowledge of JMeter, k6, or Locust for performance testing
- Background in ecommerce platforms or content-rich user interfaces
- Familiarity with backend unit or integration testing using Jest or Pytest
- Exposure to workflow automation tools or CMS/PIM-like systems
- Ability to script and extend automation tools using Python, JavaScript, or similar languages
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
ShopOS is an AI-native creative content operating system for modern ecommerce and direct-to-consumer brands. It combines AI agents with human experts to help brands create, manage, market, and sell more effectively. Its platform supports product-display pages, catalogs, social-media content, advertisements, product imagery, videos, copy, and other commerce assets, while enabling intelligent personalization and streamlined brand operations across sales and marketing channels.
