Fullstack QA Engineer

Role Description

We're looking for a QA Engineer!

Anitech Solutions Ltd is a dynamic IT services provider delivering innovative and unique AI technology solutions to businesses across multiple sectors. Alongside our core IT services, we are proud to offer tapybl, our flagship education-focused software product designed to enhance learning and engagement.

We are looking for a highly capable Full Stack QA Engineer with a strong blend of manual testing, test automation, and modern agentic AI practices.

Responsibilities

• Build and maintain end-to-end test coverage across UI, APIs, data, integrations, and core product workflows using a pragmatic test pyramid approach.

• Translate requirements and acceptance criteria into risk-based test plans and coverage maps.

• Create and execute test cases for new features, bug fixes, change requests, and release validation.

• Perform exploratory testing to uncover edge cases and integration risks, logging high-quality defects backed by technical evidence (logs, HAR files, browser traces).

• Build stable automated suites using modern agentic AI practices and integrate them directly into CI/CD pipelines with parallelization and results gating.

• Develop QA harnesses for testing, simulation, validation, execution, and monitoring of complex workflows, integrations, or regulated product flows.

• Maintain living QA documentation, including test plans, suites, runbooks, reports, and release readiness notes.

• Partner with Product and Engineering to improve acceptance criteria, optimize testability, track quality KPIs, and define team QA standards.

Required Qualifications

• 4–6+ years testing SaaS/web applications (including deep manual testing) and 2+ years building UI/API automation frameworks.

• Hands-on experience with modern tools like Playwright, Cypress, Postman, Insomnia, or Newman.

• Experience building tooling for test execution environments, simulation, data management, or quality gates.

• Comfortable analyzing basic SQL queries, logs, browser developer tools, Git-based workflows, and CI artifacts.

• Strong bias for evidence, clear documentation, and the ability to make sound QA tradeoffs in fast-paced delivery environments.

Preferred Qualifications

• Experience with modern agentic AI practices for QA, including prompt design, evaluation harnesses, and testing AI/ML features.

• Experience with workflow orchestration, event-driven architectures, or containerized test environments (Docker, Cloud).

• Background building internal QA platforms, evaluation frameworks, or release dashboards.

• Familiarity with performance testing (k6, JMeter) or accessibility testing (Lighthouse, axe).

What Success Looks Like

• You can validate product features end-to-end across UI, API, data, integrations, and release workflows.

• You can build robust QA harnesses that make complex systems easier to test, measure, debug, and release confidently.

• You improve both product quality and engineering leverage.

• You help the team move faster by making regression, release validation, defect evidence, and quality reporting repeatable and reliable.

• You reduce manual repetition, flaky automation, unclear defects, and late-stage release risk.

Working conditions
Fully-remote
B2B