דרושיםLocation:Petah Tikva

דרושים»אבטחת איכות QA» QA Team Leader

Project-Based

Description

לפני 18 שעות חברה חסויה Location: Job Type: Required QA Team Leader We are a post-purchase solution that enables thousands of merchants to efficiently manage returns and exchanges. Serving merchants across the e-commerce ecosystem, ReturnGO includes two main frontend applications, one for merchants and one for shoppers, and integrates seamlessly with leading e-commerce platforms and systems. About the Role: Own the quality of our ReturnGO product and lead both automation and manual QA. Define QA processes across the R&D organization and implement AI tools to automate processes and testing. This is a hands-on leadership role combining technical expertise, mentorship, and close collaboration across teams. Responsibilities: Gain ownership of the quality of the ReturnGO product and ensure high-quality releases. Lead and mentor a QA team of 2 engineers (1 Automation, 1 Manual) alongside hands-on QA work. Integrate AI tools to automate QA process and testing automation. Drive quality best practices across R&D with developers and product managers. Develop, maintain, and improve automated tests using Playwright and Python. Define quality KPIs to track and improve the quality.Requirements: 7+ years of experience in QA, with proven leadership experience. Advantage: proven QA leadership experience (e.g. QA Team Lead, QA Lead, QA Architect, or QA Expert). Advantage: Strong hands-on experience in QA automation, preferably with Playwright and Python. Practical experience in AI tools for automating process and testing automation. Proven experience guiding development teams and driving best practices, tools, and KPIs across R&D in a matrix environment. Strong understanding of automation strategy, CI/CD integration, and test management methodologies.This position is open to all candidates. Hide

Skills

PythonCI/CDPlaywright

Want AI to find more roles like this?

Upload your CV once. Get matched to relevant assignments automatically.

Try personalized matching