Software Engineer in Test

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). Show more Show less

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).

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.