Senior QA Engineer (Risk Management & Automation Testing)

Unlock employer Abu Dhabi, United Arab Emirates Direct to Company 13 Jul 2026

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Financial

Estimate: $65k - $90k*
Zero income tax location

Accessibility

Office Only
No Relocation Support
Visa Provided

Requirements

Experience: Senior
English: Fluent

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Position

About the Job: As a Senior QA Engineer specializing in Risk Management & Automation Testing, you will design, implement, and execute comprehensive test strategies that emphasize risk-based testing and automation for backend microservices and frontend applications. You will be responsible for identifying, assessing, and prioritizing quality risks in complex fintech systems, ensuring critical business flows such as payments, lending, and risk controls are thoroughly validated.

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Key Responsibilities:

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.
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 a strong focus on 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).

Work Conditions: