Auditdata

SaaS

GeneralQAEngineer

€60–90k ~AI est. Bulgaria FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for experienced candidates.

The Brief

“General QA Engineer at Auditdata”

Industry & Context.

SaaS
Full Job Description

Location: UA, EU #### About the role: We’re looking for a General QA Engineer to expand and maintain automated test coverage across our cloud-based B2B SaaS platform. You will handle both manual and automated testing — writing reliable automation to cover product risk while working hands-on with the product to ensure quality at every stage. Tech Stack we use: Playwright, TypeScript, API tests, Azure Devops ecosystem, CI. We wildly use variety of AI tools, like Cursor AI, Augment code. #### What you’ll do: * Build and maintain automated UI tests (Playwright/TypeScript) with a focus on reliability and speed. * Create and maintain automated API tests (CRUD, auth, edge cases) and support debugging with Postman-like tools. * Define practical test strategies for features (test pyramid, risk-based coverage) and write clear test plans/cases when needed. * Investigate failures (test flakes, environment issues, regressions) and drive fixes with engineers. * Improve CI quality gates (smoke/regression suites, reporting, triage flow). * Partner with Product + Engineering from spec → release → post-production support. * Use AI-assisted tools (e.g., coding assistants) to accelerate test creation without sacrificing maintainability. #### What You Will Bring: Key skills and expertise: * 3+ years in software testing with a strong automation focus. * Solid hands-on TypeScript + Playwright experience (real suites, not “toy tests”). * API testing experience and ability to to understand failures in distributed system. * SQL proficiency for validating data and debugging. * CI experience (pipelines, running tests headless, artifacts, reports). * English (written and spoken): upper-intermediate+ . Nice-to-haves: * Azure DevOps pipelines/test reporting experience. * Experience testing AI/ML integrations (third-party services, latency, nondeterminism, fallbacks). * Prompt-based testing / evaluation mindset (expected behaviors, safety rails, regression sets). Key traits: * You have great inter

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