QA Engineer

adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually.

Transforming 50M+ daily events into real-time actionable dashboard insights

The Dashboards team is responsible for the systems and interfaces that define our partners' daily operations. We build the campaign management APIs, analytics engines, and high-throughput tools that allow advertisers and publishers to configure, monitor, and optimize their activity on our platform.

This is not about simple CRUD interfaces, it is about building high-performance data surfaces that drive massive business decisions. Using Go, Kafka, and Druid, we process and render real-time analytics across 50+ million daily events, ensuring accuracy and complex campaign performance reporting at scale. On the frontend, we tackle genuine engineering constraints: utilizing TypeScript and React, we have moved beyond standard library limitations to build highly optimized graph-rendering with Recharts capable of visualizing datasets that would overload conventional solutions.

Your Mission & Who We Are Looking For:

• QA with 3 years+ hands on automation experience, alongside a strong manual testing foundation. You design and execute structured and exploratory test cases, validate complex user journeys across frontend and backend, and perform regression testing before releases. You identify edge cases and risk areas early and document clear, reproducible bug reports in Jira.

• You contribute to UI and API test automation using tools like Playwright, Cypress, or Postman, identify critical regression flows worth automating, and maintain existing test suites. CI/CD integration experience is a plus.

• API and data testing is part of your toolkit. You test APIs and data-driven dashboard features, and have basic SQL knowledge for backend data validation. You understand what correct looks like at the data layer, not just the UI.

• Quality ownership from day one. You participate in refinement and sprint planning from a QA perspective, help define acceptance criteria and test strategies, and proactively flag quality risks before they reach release.