Senior QA Engineer

Description Summary

Responsibilities

• Develop test strategy, test plans, test cases, and test procedures across functional, exploratory, integration, regression, API, UI, data validation, and end-to-end testing.
• Build and maintain automated testing solutions for web applications and supporting services.
• Partner with developers to improve testability, prevent defects earlier, and strengthen engineering practices.
• Identify and communicate product, technical, and delivery risks clearly and effectively.
• Participate in code reviews, sprint ceremonies, and cross-functional design discussions.
• Help improve QA standards, developer testing practices, and release confidence.
• Contribute to internal documentation, knowledge sharing, and user enablement where needed.

Qualifications

• 8+ years of experience in QA, SDET, or quality engineering roles.
• Strong programming skills in Python is required. Familiarity with other programming languages like C# or Java a plus.
• UI automation experience, preferably in Playwright (Typescript) is required.
• Demonstrated experience building automated test frameworks for web applications.
• Experience in API testing, UI testing, data testing, or end-to-end automation.
• Strong understanding of SDLC, CI/CD, version control, and modern engineering practices.
• Experience with tools such as Git and Jenkins.
• Strong debugging, analytical, and problem-solving skills.
• Solid understanding of the end-to-end electronic trade lifecycle, including order creation, routing, execution, allocation, and settlement.
• Hands-on experience testing order management systems (OMS) and execution management systems (EMS) in buy-side or sell-side environments.
• Familiarity with common financial asset classes (equities, futures, options, fixed income, FX, etc.) and associated order types and workflows.
• Experience working with FIX protocol, including building or using FIX simulators for testing message flows is a plus.
• Ability to design and execute test scenarios for order and trade handling, e.g., new order entry, cancels/modifies, fills, allocations, and post-trade processing.
• Proven, hands-on experience leveraging AI-assisted engineering tools (e.g., GitHub Copilot, Claude, Codex, or similar) in day-to-day software development processes is required. Candidates will be expected to show real-world examples of applying these tools to accelerate and enhance engineering outcomes.