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e-Trading Platform Testing
Our team at Luxoft is currently working on the development of a high-performance electronic trading platform for cash equities in principal trading operations. The platform uses the FIX protocol and must comply with US financial regulations and MiFID II.
As a Senior Test Automation Engineer, you will lead the complete end-to-end testing lifecycle for the e-Trading platform, from planning to execution and reporting. Your key responsibilities will include:
- Designing, developing, and maintaining automated test scripts using Core Java and Cucumber/Gherkin to ensure efficient and reliable testing processes.
- Performing detailed manual testing, including functional, regression, and Front-to-Back (F2B) testing to validate system behavior and data integrity.
- Ensuring the platform complies with US regulations, MiFID II, and other applicable financial regulations through rigorous compliance testing.
- Conducting performance and load testing to identify bottlenecks, optimize system performance, and ensure the platform handles high transaction volumes.
- Setting up, managing, and maintaining test environments, ensuring they accurately reflect production conditions for reliable test results.
- Validating and troubleshooting FIX protocol communications to ensure accurate order routing and trade execution across interconnected systems.
- Writing and optimizing complex SQL queries to verify data accuracy, integrity, and consistency within the platform's databases.
- Identifying, analyzing, and resolving performance issues affecting system functionality, using diagnostic tools and log analysis for root cause identification.
- Collaborating with developers, business analysts, traders, and other stakeholders to understand requirements, report issues, and deliver high-quality solutions.
- Participating in Agile ceremonies and contributing to continuous integration and deployment within a DevOps framework.
- Generating clear, concise test reports and documentation using Power BI and Power Pivot for effective communication with stakeholders.
- Identifying opportunities for process improvement, including the adoption of AI-driven QA techniques to enhance automation and testing efficiency.
