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QA Engineer

Astra TechAbu Dhabi Emirate, UAEYesterdayMid-Senior
Mid-Seniorfulltime

Skills

Manual TestingAutomation TestingAPI Testing

About This Role

Overview

Senior QA Engineer (Risk Management & Automation Testing)

Key Responsibilities

  • Design, implement, and execute comprehensive test strategies with a strong focus on risk-based testing and automation across backend microservices and frontend applications.
  • Identify, assess, and prioritize quality risks in complex fintech systems, ensuring critical business flows (e.g., payments, lending, risk controls) are thoroughly validated.
  • Develop and maintain scalable, reusable automation frameworks to support CI/CD pipelines and ensure high regression coverage.
  • Perform performance, load, and stress testing to proactively detect system bottlenecks and scalability risks.
  • Debug and trace long call chains across distributed microservices, identifying root causes and potential risk points in complex service interactions.
  • Leverage logs, metrics, and distributed tracing tools to monitor system health and mitigate quality and performance risks.
  • Collaborate closely with engineering, product, and risk teams to ensure quality standards align with business and regulatory requirements.

Required Qualifications

  • Bachelor's or master's degree in computer science, Engineering, or a related field.
  • 5+ years of experience in QA for large-scale backend systems, with strong exposure to distributed architectures and microservices.
  • Proven experience in automation testing, including API automation, data validation automation, and integration testing.
  • Strong hands-on experience with risk-based testing methodologies and quality assurance in high-availability systems.
  • Solid experience in API testing, database validation, and performance testing.
  • Proficiency in at least one programming/scripting language (e.g., Python, Java).
  • Strong understanding of asynchronous processing and message queue systems (e.g., Kafka, RabbitMQ).
  • Excellent debugging and analytical skills for identifying system risks and performance bottlenecks.
  • Fluency in English (spoken and written).

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