Manual QA Tester

Recruiterflow is the AI-native platform powering executive search and recruiting businesses—from sourcing talent to closing deals. Trusted by 2,100+ agencies and 10,000+ recruiters across 100+ countries, we’re led by second-time founders with 13 years of experience in AI. Profitable and self-funded, we were recently named Bootstrapped Business of the Year. Our customers fund our roadmap because what we build works.

We are looking for a detail-oriented Manual Tester with 1-2 years of experience in testing web applications, hands-on ETL testing, and basic performance testing. The ideal candidate should have strong QA fundamentals and experience validating data pipelines and system behavior to ensure data accuracy, consistency, reliability, and acceptable performance under load.

Responsibilities

Analyse requirements, user stories, and acceptance criteria to create test scenarios

Design and execute manual test cases for functional, regression, smoke, sanity, and performance testing

Perform hands-on ETL testing:

Validate source-to-target data mapping

Verify data transformation rules

Check data completeness, accuracy, and consistency

Validate data ingestion from multiple sources (APIs, files, integrations)

Perform basic performance testing to:

Identify response time issues for critical workflows

Validate system behavior under expected load

Detect bottlenecks related to data processing or integrations

Identify, log, and track defects using bug tracking tools

Perform exploratory testing to identify edge cases, data issues, and performance risks

Collaborate with Product, Development, and Data teams to clarify functional and performance-related requirements

Validate bug fixes and perform regression testing

Ensure proper test coverage for business-critical workflows, including performance-sensitive flows

Must-have

1–2 years hands-on manual testing experience on a web product (B2B SaaS a plus)

Solid grasp of QA fundamentals: test case design, test scenarios, boundary/edge cases, severity vs. priority, the bug lifecycle

Can write clear, reproducible bug reports (steps, expected vs. actual, environment, evidence)

Experience with a bug/test management tool (Jira is ideal)

Good communication; can push back on "it works on my machine" and hold the quality bar

Understands the difference between functional, regression, smoke, and sanity testing

Nice-to-have

Exposure to API testing (Postman), browser dev tools, SQL basics

Any automation exposure (Selenium/Playwright/Cypress) — not required for this role, but signals growth

Comfort with AI dev/QA tooling

Experience testing Chrome extensions or complex single-page apps