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Quality Assurance Engineer

Go Offer

full-remotemidpermanentqa United States 79 days ago via LinkedIn

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Tags

Quality AssuranceTest AutomationPythonAPI TestingAsync SystemsEnd-to-End TestingRisk-Based TestingSeleniumPlaywrightBrowser Automation

About the role

Quality Assurance Engineer

Role overview

Build and maintain a scalable quality system for Go Offer’s AI automation platform and client-facing interfaces. You’ll ensure AI agent workflows work reliably from scraping through submissions and notifications.

Responsibilities

  • Design and maintain automated test suites for the core automation platform and client-facing UI
  • Test AI agent workflows end-to-end, from job board scraping to application submission and client notifications
  • Catch regressions before production and build systems to prevent repeat issues
  • Partner with engineers early to define testability requirements during development
  • Build test infrastructure that scales with the platform (quality system, not just scripts)

Requirements

  • 3+ years of QA engineering experience, focused on automation
  • Strong Python skills for test automation and scripting
  • Experience testing APIs, async systems, and complex multi-step workflows
  • Ability to distinguish between coverage vs. risk-based testing
  • Strong quality mindset: broken workflows impact real people’s job access

Nice to have

  • Experience with Selenium, Playwright, or other browser automation testing
  • Familiarity with AI-generated outputs and how to evaluate them systematically
  • Background testing data pipelines or scraping systems

What we offer

  • Fixed salary with an annual performance review
  • Work from anywhere with a flexible, results-focused schedule
  • Personal AI tools budget, access to courses and mentorship
  • Mission-driven product with a strong team pedigree

About Go Offer

Go Offer is an AI-native company based in the US. It processes thousands of job listings daily, tracks outcomes across hundreds of job searches, and uses analytics to drive product decisions. The product focuses on improving job-search workflows end-to-end with data-backed automation.

Scraped 5/12/2026