Quality Assurance Specialist

Quality Assurance Professional

We are seeking a highly skilled and detail-oriented Quality Assurance professional to join our dynamic team. The ideal candidate will be responsible for ensuring the quality, reliability, and performance of trading platforms and financial applications through comprehensive testing strategies and automation frameworks.

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).
• 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.
• 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.