HFM

Lead Automation QA Engineer

  • Vollzeit
  • Vor Ort
  • Larnaca, Zypern
  • Unbefristet
  • Informationstechnologie
  • vor 1 Tag
Bewerben

Stellenbeschreibung


As we continue to expand, we are seeking a driven and strategic Lead Automation QA Engineer to join our team. 


Responsibilities:
  • Define and Own Test Automation Strategy: Establish a robust, scalable, and cost-effective test automation strategy that aligns with short-term release goals and long-term product vision for a low-latency trading environment.
  • Drive AI/ML Adoption (MCP Focus): Champion the research, proof-of-concept, and full implementation of AI-powered testing tools, specifically focusing on utilizing the Model Context Protocol (MCP) with Playwright in Python to build adaptive, self-aware test suites that understand system changes and minimize maintenance effort.
  • Team & Mentorship: Lead, mentor, and coach Senior, Mid, and Junior Automation Engineers, fostering a culture of engineering excellence, high coding standards, and deep system-level understanding.
  • Architectural Alignment: Represent QA in architecture reviews and design discussions, ensuring testability is baked into the system design from inception, especially for distributed microservices.
  • Framework Ownership: Lead the design and development of advanced, polyglot test automation frameworks (API, UI, Database, Mobile) ensuring they are scalable, highly maintainable, and adhere to best-in-class design patterns.
  • Performance & Load Testing: Define and manage the strategy for high-frequency performance and load testing, focusing on latency and throughput benchmarks critical for a Forex trading platform. Provide actionable reports and system tuning recommendations.
  • CI/CD & DevOps Integration: Collaborate closely with DevOps to optimize the continuous testing pipeline (CT), ensuring full test suite execution is a seamless, fast, and mandatory gate in the CI/CD flow (e.g., Jenkins, GitLab CI).
  • Contextual Test Design: Design test automation solutions that effectively gather and utilize system context and behavior data to enhance testing coverage and pinpoint complex issues, feeding into the Model Context Protocol (MCP).

Ursprünglich veröffentlicht: 23. Juli 2026 · Zuletzt als aktiv bestätigt: 23. Juli 2026

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