Senior QA Engineer (Risk Management & Automation Testing)
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About the Role
Senior QA Engineer (Risk Management & Automation Testing) Location: On-site Abu Dhabi 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.
Key Skills for This Role
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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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