Quality Assurance Engineer

ESTIDAMA UAE; Abu Dhabi; On-site; AED 300,000 - 650,000; Full time

Job summary

ESTIDAMA UAE is seeking an experienced QA Lead to design and execute comprehensive test strategies for fintech backend microservices and frontend apps. You will focus on risk-based testing and automation to uphold high release quality.

You will develop scalable automation frameworks, contribute to CI/CD pipelines, and ensure robust performance testing and thorough data validation across critical business flows such as payments and risk controls.

Qualifications

• Bachelor's or master's degree in computer science, engineering, or a related field.
• 5+ years of QA experience for large-scale backend systems with distributed architectures.
• Proven automation testing experience, API automation, data validation, and integration testing.
• Strong risk-based testing experience for high-availability systems.
• Experience with API testing, database validation, and performance testing.
• Proficiency in Python or Java.
• Knowledge of asynchronous processing and messaging systems like Kafka or RabbitMQ.
• Fluency in English (spoken and written).

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.

Skills

QA experience

Automation testing

API testing

Risk-based testing

Performance testing

Distributed systems

Python/Java

English fluency

Education

Bachelor's or Master’s in CS/Engineering

Tools

Kafka

RabbitMQ

CI/CD tooling

Job description

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).