QA Engineer

Unlock employer Abu Dhabi, United Arab Emirates 22 May 2026

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Financial

Estimate: $50k - $80k*
Zero income tax location

Accessibility

Office Only
No Relocation Support
Visa Provided

Requirements

Experience: Senior
English: Fluent

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Position

The company is seeking a Senior QA Engineer with a focus on Risk Management and Automation Testing. In this role, you will be responsible for designing, implementing, and executing comprehensive test strategies, emphasizing risk-based testing and automation across backend microservices and frontend applications. Key responsibilities include:

Identifying, assessing, and prioritizing quality risks in complex fintech systems, ensuring critical business flows such as payments, lending, and risk controls are thoroughly validated.
Developing and maintaining scalable, reusable automation frameworks to support CI/CD pipelines and ensure high regression coverage.
Performing performance, load, and stress testing to proactively detect system bottlenecks and scalability risks.
Debugging and tracing long call chains across distributed microservices to identify root causes and potential risk points in complex service interactions.
Collaborating closely with engineering, product, and risk teams to ensure quality standards align with business and regulatory requirements.

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Location: Abu Dhabi Emirate, United Arab Emirates (On-site)
Job Type: Full-time

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).