Тип вакансії: Повна зайнятість

Розташування:

Your Role:
You will have a key role in our rapidly growing, fast-paced organisation. The ideal candidate will be responsible for helping our software development perform manual testing of our web-based product. You will work with our CTO and automation engineers to document and create test cases, and then run them. We're looking for a self-starter with experience in QA, a knack for breaking things, finding bugs and problem solving them.

Benefits:
Work from home, flexible hours
Be a key member of a small team
Fast paced startup environment, global team
Get things done while having fun
Help real people succeed in business
Get rewards and bonuses for working hard
Compensation in USD
Unlimited days off

Responsibilities:
Own the manual testing process for our web-based lending platform, from reviewing requirements through to release sign-off
Write clear, comprehensive test plans, test cases and checklists based on user stories and acceptance criteria
Execute functional, regression, smoke and exploratory testing across browsers and mobile web
Use AI assistants (Claude, ChatGPT, Copilot and similar) to draft and expand test cases, generate test data and speed up bug reproduction, then apply your own judgement to verify what the AI produces
Validate data end to end, including API responses (Postman or similar) and database checks with basic SQL
Identify, reproduce, document and track defects in Jira with clear steps, evidence and severity
Perform thorough regression testing before each release and keep the regression suite current
Partner with our CTO, developers and automation engineers to flag risk early and suggest which cases are worth automating
Contribute to QA process improvement: test coverage, test data, environments and release checklists

Requirements:
2+ years of hands-on manual QA experience testing web applications
Solid grasp of QA methodologies and test design techniques (equivalence partitioning, boundary values, decision tables), test levels and the defect lifecycle
Proven ability to write clear, concise and comprehensive test plans and test cases
Experience with API testing (Postman or similar) and reading API documentation
Basic SQL – able to query and validate data yourself
Comfortable with browser developer tools (console, network tab, responsive mode) for triage
Experience with a bug tracker (Jira) and a test management tool (TestRail, Xray, Zephyr or similar)
Practical experience using AI assistants in day-to-day QA work, plus the judgement to verify their output and to keep confidential data out of public tools
Strong analytical thinking and attention to detail – able to spot edge cases in complex business logic and calculations
Experience working in an Agile/Scrum process in close collaboration with developers
Professional working proficiency in written and spoken English (B2 or above), and comfort working asynchronously with a distributed US and European team
Self-starter who can own quality with minimal supervision in a fully remote setup

Nice to Have:
Exposure to fintech, lending, banking or mortgage products
Experience testing AI or LLM-powered features – non-deterministic output, prompt regression, accuracy and hallucination checks
Familiarity with test automation (Playwright, Cypress, Selenium) – enough to read, run and triage automated tests
Experience with CI/CD pipelines (GitHub Actions or similar) and testing in staging environments
Basics of accessibility or performance testing
ISTQB certification or equivalent
Previous experience with international or US-based teams

How We Use AI Here:
AI is part of how we work, not a replacement for thinking. You will be encouraged to use AI tools to move faster – drafting test cases, generating realistic test data, summarising regression results and exploring edge cases you might otherwise miss.
What we expect in return is accountability for the result: verify what the model gives you, keep customer and company data out of public tools, and tell us when AI is not the right tool for the job.
If you have not used AI much in QA yet but are curious and quick to learn, that is fine – we will help you get there.

Hiring Process:
Intro call, a short practical QA exercise based on a real scenario from our product, a technical interview with our CTO and a pre-employment assessment. We aim to keep the whole process inside two weeks.

Environment and Culture:
We work hard, days can be long, but we get rewarded for it
We are driving for growth
We are available and responsive
We think ahead, but we get things done quickly
We move fast, but try not to break things

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