Quality Assurance Engineer

Job Description: QA Engineer (Paid) About GoQuant GoQuant is a financial technology company dedicated to providing high-performance trading solutions for digital assets. We empower professional traders and institutions with a comprehensive suite of tools, including an advanced Order Execution and Management System (OEMS), high-quality Market Data services, and a robust Portfolio and Risk Management System (PMS/RMS). Our focus is on delivering lightning-fast execution, ensuring private and secure trading environments, and offering sensible, fixed-fee structures. By integrating with a wide array of venues including centralized and decentralized exchanges, prime brokers, and market makers, GoQuant enables clients to maximize their trading potential with clean, reliable data and cutting-edge technology. Role Summary We are seeking a highly skilled and detail-oriented QA Engineer to join our dynamic team. The ideal candidate will be responsible for ensuring the quality, reliability, and performance of our trading platforms and financial applications through comprehensive testing strategies and automation frameworks. You will work closely with development teams, product managers, and other stakeholders to translate complex business requirements into robust testing solutions. Your primary focus will be on maintaining the highest standards of software quality while contributing to the full software development lifecycle from requirements analysis to production deployment. Key Responsibilities - 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. - Collaborate with development teams to optimize critical execution paths and identify performance bottlenecks. - Create detailed technical documentation for testing procedures, frameworks, and quality standards for both internal and external use. - Conduct thorough regression testing and validate system behavior across multiple trading venues and market conditions. - Establish and promote quality assurance best practices, testing standards, and methodologies across the organization. Required Skills & Qualifications - 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. Preferred Skills & Qualifications - 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. How to Apply: If you’re interested in this position, please apply Candidates who may not meet all the qualification criteria are still encouraged to apply. We are looking for passionate, eager learners who are excited about the project at hand. You can apply via the platform where you found this job posting (e.g., ). GoQuant Technologies Incorporated is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.