Senior QA Engineer for Financial Trading Systems

We are seeking a highly skilled Senior Quality Assurance (QA) Engineer to join our dynamic team. As a key member of our software development lifecycle, you will play a critical role in ensuring the quality, reliability, and performance of our trading platforms and financial applications.

The ideal candidate will possess strong technical expertise, excellent problem-solving skills, and a deep understanding of software testing methodologies. You will work closely with development teams, product managers, and other stakeholders to design and implement comprehensive test strategies for complex distributed systems.

This is an exciting opportunity for a seasoned QA engineer to take on new challenges, grow professionally, and contribute to the success of our organization.

• Participate in the full software development lifecycle, from requirements analysis to implementation and maintenance.
• Translate complex business requirements into detailed technical specifications and comprehensive test implementation plans.
• Design and develop automated testing frameworks and tools using C++, Python, and JavaScript for critical trading systems.
• Create and maintain comprehensive test suites for critical trading components, ensuring coverage of functional, performance, and edge-case scenarios.
• Develop benchmarking tools for measuring system performance, latency, and throughput in high-frequency trading environments.
• Contribute to architectural discussions and provide direct input in design decisions to ensure testability and quality from the ground up.
• Provide technical support for client implementations and troubleshooting complex production issues.
• Implement and maintain continuous integration/deployment pipelines with integrated testing automation.
• Build monitoring solutions for system performance, reliability, and quality metrics in production environments.
• Write production-quality code for new testing features, tools, and quality improvements.

• Proven QA engineering experience with a strong background in testing complex, high-performance financial or trading systems.
• Proficiency in multiple programming languages including C++, Python, and JavaScript for developing testing frameworks and automation tools.
• Strong experience with automated testing frameworks and tools (e.g., pytest, Jest, Google Test, or similar).
• Solid understanding of software testing methodologies, including unit testing, integration testing, performance testing, and load testing.
• Experience with continuous integration/continuous deployment (CI/CD) pipelines and tools such as GitHub Actions.
• Knowledge of performance testing and benchmarking tools for low-latency systems.
• Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack).
• Strong understanding of software development lifecycle (SDLC) and agile methodologies.
• Ability to design and implement comprehensive test strategies for complex distributed systems.
• Experience with API testing, database testing, and microservices testing.
• Excellent problem-solving skills and attention to detail in identifying edge cases and potential system failures.
• Strong communication skills to collaborate effectively with cross-functional teams and document technical findings.
• Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.

• Experience with testing trading platforms, financial data systems, or high-frequency trading applications.
• Knowledge of financial markets, trading protocols, and exchange connectivity (FIX protocol, WebSocket APIs).
• Experience with containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP).
• Familiarity with message queue systems (Kafka, RabbitMQ) and real-time data processing.
• Experience with security testing and compliance requirements in financial services.
• Knowledge of database systems (PostgreSQL, Redis, InfluxDB) and data validation techniques.
• Experience with chaos engineering and fault injection testing.
• Understanding of network protocols and low-level system optimization.
• Experience with test data management and synthetic data generation.