QA Automation Engineer
Summary
Builds and maintains automated QA systems for web, API, data, and AI features across Juuuno's consumer products (social, dating, health, fintech, astro, AI). Day to day: Playwright/Cypress test automation, API/integration/contract tests, data-quality checks, AI evaluation suites, performance/security testing, and CI/CD integration.
Job Summary
We are seeking a hands-on QA Automation Engineer with strong expertise in web, API, data, and AI testing. The ideal candidate will build automated quality systems across multiple consumer products in Social, Dating, Health, Fintech, Astro, and AI, making sure every release is accurate, reliable, and ready for production.
Key Responsibilities
- Create risk-based test strategies, automation frameworks, and release-quality dashboards.
- Automate critical web journeys using Playwright, Cypress, or a similar framework.
- Build API, integration, and contract tests for authentication, schemas, and third-party integrations.
- Create mocks and simulators for timeouts, rate limits, retries, and duplicate events.
- Test concurrency, async processing, permissions, and recovery behaviour.
- Validate data quality across pipelines, APIs, and user-facing reports.
- Build evaluation suites for AI features covering accuracy, unsafe outputs, and regressions.
- Run performance, load, resilience, and basic security tests.
- Integrate test suites into CI/CD and share clear, actionable defect reports.
Preferred Candidate
- 3-6 years in test automation for web, API, and data-heavy platforms.
- Strong hands-on experience with Playwright, Cypress, or Selenium.
- API test automation using Python/pytest or JavaScript/TypeScript.
- Experience testing REST APIs, OAuth flows, webhooks, and async jobs.
- Strong SQL skills for validating data pipelines and complex calculations.
- CI/CD integration, test reporting, and root-cause analysis.
- Ability to turn business rules into clear, automatable test cases.
Good to have: Contract testing and service virtualization; load testing with k6, Locust, or JMeter; ML/LLM feature testing; basic AWS and Kubernetes knowledge.
Why Join Us?
Kaaliber aims to solve the problem of fragmented, expensive, and inefficient customer growth by bringing the entire marketing process into one AI-powered platform. Instead of managing multiple advertising channels, disconnected data, creative tools, and customer retention systems separately, Kaaliber unifies them into a single engine that helps businesses acquire high-value customers, automatically optimise budgets, continuously create fresh ads, understand what drives revenue, and retain existing users. By making real-time, data-driven decisions focused on actual business outcomes rather than just clicks and installs, Kaaliber aims to reduce wasted marketing spend, minimise reliance on multiple intermediaries, and help brands grow more efficiently and profitably across channels.