Reports to: Senior Retail Technology Architect
Location: Remote (US, Canada)
What You'll DoBuild AI-Accelerated Test Automation- Build and maintain scalable automation suites using Playwright across web, API, and mobile, contributing to broader QA frameworks and release validation standards.
- Use AI coding assistants and agents (Claude Code, GitHub Copilot, Cursor, Playwright's planner/generator/healer agents) to generate test plans, test cases, page objects, and test data from requirements, Jira stories, and PR diffs.
- Review, validate, and harden every AI-generated test before it merges - you own the correctness of the suite regardless of what wrote the code.
- Drive down flaky tests and maintenance cost through resilient locator strategies, AI-assisted self-healing, and automated failure triage.
- Integrate automated quality gates into GitHub Actions CI/CD so every deploy is validated by the pipeline rather than by manual sign-off.
- Build and maintain functional, regression, API, and performance/load testing coverage using tools like Postman, JMeter, or k6.
Apply Testing Judgment Where It Matters- Determine what should be automated, what can be delegated to AI, and what requires human testing - balancing coverage, risk, and release timelines.
- Perform focused exploratory testing on new features, UI/UX changes, and complex user flows to catch edge cases and usability issues that automation and AI miss.
- Turn every escaped defect into an automated regression check so the suite strengthens with each release.
- Partner with engineers to embed tests, API contract checks, and AI-assisted code review early in the SDLC to reduce downstream defect costs.
- Help define how to test AI-powered customer experiences (search, recommendations) where outputs are non-deterministic and need evaluation rubrics rather than exact assertions.
- Track and report quality metrics (automation coverage, defect escape rate, flake rate, test cycle time) to show where automation is paying off.
Contribute to a High-Performing Team- Collaborate with QA peers and engineering teams, sharing knowledge, best practices, and the AI prompts and workflows that work.
- Provide input on quality practices and process improvements across the engineering org, focusing on reducing manual regression and UAT effort.
- Support and mentor QA engineers on automation and responsible AI-assisted testing, fostering a culture of quality ownership.
Required Qualifications- 5+ years of experience in Quality Assurance and Testing, including 3+ years building and maintaining test automation that runs in CI/CD.
- Proven, hands-on experience with Playwright for web and API E2E automation; Cypress or Selenium experience is a plus.
- Strong automation fundamentals: ability to design, build, and maintain scalable, reliable test suites and frameworks, and to diagnose and eliminate flaky tests.
- Strong proficiency in TypeScript/JavaScript or Python (Java a plus); you write test code to the same standard as production code.
- Hands-on, day-to-day use of AI coding tools (Claude Code, GitHub Copilot, or Cursor) to write, refactor, and debug test code, with the discipline to validate and correct AI-generated output.
- Experience integrating automated tests into CI/CD pipelines (GitHub Actions preferred), including parallel execution, reporting, and quality gates.
- Solid experience with functional, regression, API, and performance/load testing (Postman, JMeter, k6, or equivalent).
- Strong exploratory testing skills and the judgment to build risk-based test strategies across automated, AI-assisted, and manual coverage.
- Demonstrated SDLC and Agile experience with defect lifecycle management using Jira and TestRail.
- Ability to operate effectively under a steady release cadence and manage competing priorities with minimal supervision.
Preferred Qualifications- E-commerce QA automation experience, particularly in environments shipping frequently with CI/CD integration.
- Experience building or adopting agentic testing workflows (AI test generation, self-healing tests, MCP-connected tools, or LLM-based failure triage).
- Experience testing AI/ML-powered features such as search, recommendations, or LLM-generated content, including evaluation of non-deterministic output.
- Familiarity with BrowserStack or similar cloud device and browser grids.
- Experience with observability tooling like Grafana or GCP-based infrastructure, including using production signals to prioritize test coverage.
- Strong communication and collaboration skills, with the ability to work cross-functionally.
Why JoinThe people who do best here are builders. They take ownership, move fast, and want to see the direct impact of their work.
- Cross-Functional Impact: Your work touches every engineering team and every release - automation coverage and quality gates you build directly shape what ships to customers across web, mobile, and API.
- AI-First Skill Building: You will work at the frontier of AI-assisted testing, using and evaluating emerging tools daily and building expertise that is defining the next generation of quality engineering.
- End-to-End Ownership: You own the automation framework, the CI/CD quality gates, and the testing strategy - from choosing what to automate to deciding how to evaluate non-deterministic AI features.
- Competitive Benefits (US): Paid time off policies, 401(k) match, medical/dental/vision and a variety of supplemental policies, and employee discounts across our portfolio of brands.
- Competitive Benefits (Canada): Paid time off policies, RRSP match, medical, dental, and vision coverage, a variety of supplemental benefit options, and employee discounts across our portfolio of brands.
Interview Process- Recruiter Screen - A 30-minute conversation with our recruiting team to align on the role, your background, and what you are looking for.
- Hiring Manager Interview - A deeper conversation focused on your automation experience, AI-assisted testing approach, and how you balance coverage with release velocity.
- Technical / Case Discussion - A hands-on session covering Playwright automation design, CI/CD integration, and your approach to evaluating and hardening AI-generated tests.
- In-Person Interview - We'd like to meet you at one of our office locations. Details and logistics will be arranged with your recruiter.
- Reference Checks - Conducted in parallel with the final stages where possible.
- Offer - We move quickly for the right candidate.
Interview process is subject to change. Any updates will be communicated promptly and clearly.
Please Note- Part of our interview process is a mandatory in-person interview with someone on our team prior to an offer. Candidates that are unwilling or unable to meet for an in-person interview will be removed from consideration immediately.
- Due to a high volume of fraudulent applications, you must share a valid LinkedIn profile URL in the application questions below to be considered. If you do not have a LinkedIn profile, you must provide a credible reason in that field and supply alternative evidence of your professional background to verify your identity.
