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Software Engineer – Test
Location
Ukraine
Posted
38 days ago
Salary
0
Seniority
Mid Level
Job Description
Software Engineer – Test
Newxel
• Design and build automated end-to-end tests for complex web application flows using Cypress, Playwright, or similar frameworks — with a focus on data-heavy product areas: reports, dashboards, recommendations, cost logic • Translate product behavior, user workflows, and technical risks into test scenarios that actually catch real issues — not just green checkmarks • Work alongside developers and PMs to understand new features before they ship, identify quality risks early, and shape what "done" means • Investigate bugs with depth: reproduce, identify root cause, document clearly, and communicate findings to the team — not just log a ticket • Use AI tooling actively to accelerate test planning, test generation, failure analysis, and coverage improvement • Maintain and improve the test suite's structure, reliability, and scalability — not just add tests on top of existing ones • Participate in release processes and act as a quality signal for what's safe to ship
Job Requirements
- 2–4 years of hands-on QA automation or Software Engineer in Test experience
- Practical experience building and maintaining automated tests for web applications
- Experience with Cypress, Playwright, Selenium, or comparable frameworks
- Solid coding skills in JavaScript, TypeScript, Python, or similar
- Strong analytical thinking — you dig into why something failed, not just that it failed
- Experience testing SaaS products with dashboards, reports, or data-intensive surfaces
- Good English communication skills.
- API testing experience
- Familiarity with Git and CI/CD workflows
- SQL or large dataset experience
- Basic understanding of AWS, Azure, or GCP
- Experience testing integrations, data pipelines, billing systems, or analytics platforms
- Experience improving automation infrastructure, not just writing individual tests.
Benefits
- The product domain is technically substantive — cloud cost logic, billing data, and FinOps workflows have real edge cases that require engineering-level understanding to test well. You're not validating whether a form submits correctly.
- The team is small and experienced, which means your work has visible impact and your decisions on test architecture actually stick — there's no bureaucratic layer between "you think this is better" and "this is now how it works."
- AI-assisted testing is a genuine part of the workflow here, not a talking point — if you want to push what modern QA practice looks like in a real product context, there's room to do that.
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