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Junior QA Engineer - Machine Learning Platform for E-Commerce at AppIQ Technologies

Position Junior QA Engineer - Machine Learning Platform for E-Commerce
Veröffentlicht 02 Mar 2026
Abgelaufen 01 Apr 2026
Unternehmen AppIQ Technologies
Standort Österreich | AT
Anstellungsart Full Time

Stellenbeschreibung:

Aktuelle Karriere-Informationen von AppIQ Technologies für die Position als Junior QA Engineer - Machine Learning Platform for E-Commerce. If the Junior QA Engineer - Machine Learning Platform for E-Commerce Stellenangebot in Österreich Ihren Qualifikationen entspricht, reichen Sie Ihre Bewerbung bitte direkt über das aktualisierte Jobkos-Portal ein.

Bitte beachten Sie, dass eine Bewerbung Qualifikationen erfordert, die vom Arbeitgeber festgelegt wurden. Wir hoffen, dass diese Karrierechance bei AppIQ Technologies für die Position als Junior QA Engineer - Machine Learning Platform for E-Commerce unten zu Ihrem Profil passt.

Overview

AppIQ Tech is seeking a meticulous and strategic QA Engineer / Sr. QA Engineer to ensure the quality and reliability of our Machine-Learning-driven e-commerce funnel optimisation and digital advertising platform. You will be responsible for defining the testing strategy for high-performance applications that leverage our proprietary Predictive AI solutions. As a key member of our fast-paced startup, you will balance the need for rapid feature deployment with thorough testing and identify and prioritise the highest-risk bugs to ensure our scalable services, which manage millions of daily events, remain robust and accurate.

Responsibilities
  • QA Architecture & Strategy: Develop and maintain a comprehensive QA architecture that supports full-stack applications and complex microservices.
  • Risk Management: Prioritise bug fixes based on risk of failure and potential impact, while balancing speed-to-market with exhaustive testing.
  • Test Management: Utilise test case management (TCM) systems such as TestRail, Zephyr, Xray, PractiTest, qTest, or similar to organise test cases, track execution, and provide transparent reporting on quality metrics.
  • Automated Testing: Design, implement, and scale automated test suites using tools such as Playwright, Cypress, and Appium.
  • Testing & Validation: Perform rigorous unit tests and integration tests on applications built with TypeScript, React, Node.js, Python, and PySpark.
  • Infrastructure Testing: Verify the reliability of deployments across AWS (EC2, S3, Firehose) and Cloudflare edge environments.
  • Data Integrity: Collaborate with Data Engineers to validate the accuracy of complex event data and real-time reporting dashboards.
  • Cross-Functional Collaboration: Act as a great team player with excellent communication skills, working closely with developers and data scientists to ensure a seamless end-user experience.
Qualifications
  • 4+ years of professional experience in software quality assurance or engineering, with a strong focus on scalable web applications (7+ years for Sr. QA Engineer).
  • Strong grasp of QA architecture and modern testing methodologies.
  • Deep expertise in the tech stack used by our engineers, specifically TypeScript, React, Node.js, Python, and PySpark.
  • Cloud & Database Proficiency: Familiarity with AWS services and both SQL and NoSQL (e.g., MongoDB) databases to effectively test data persistence and performance.
  • Global Collaboration: Ability to work effectively with globally distributed teams
  • Native or Business-level proficiency in written and spoken English
Strong plus if you also have:
  • AI/ML Literacy: Understanding of Machine Learning (Supervised/Reinforcement Learning), Predictive AI, and the validation of Data Pipelines.
  • Proficiency in Python or experience with PySpark.
  • Prior experience in the e-commerce or Ad Tech ecosystem (DSPs, Audience Data, Fraud detection).
Benefits
  • The opportunity to shape the QA culture and architecture from the ground up.
  • An attractive career path on either a management or an individual contributor track.
  • Genuine learning, training and development opportunities, supported by regular performance reviews
  • Competitive compensation and generous paid time off.
  • Work-from-anywhere flexibility
  • Opportunities to develop expertise in building cutting-edge predictive AI applications.

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Job-Informationen:

  • Unternehmen: AppIQ Technologies
  • Position: Junior QA Engineer - Machine Learning Platform for E-Commerce
  • Arbeitsort: Österreich
  • Land: AT

So bewerben Sie sich:

Nachdem Sie die Kriterien und Mindestanforderungen in der Stellenanzeige gelesen und verstanden haben, Junior QA Engineer - Machine Learning Platform for E-Commerce at the office Österreich bereiten Sie bitte umgehend Ihre Bewerbungsunterlagen (Anschreiben, Lebenslauf, Zeugnisse) vor. Senden Sie diese über den Link 'Nächste Seite' unten ein.

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