TradeStation · 2 weeks ago
Director, Quality Engineering & AI-Driven Testing
United States
Full-time
Remote
Senior Level, Lead/Staff
$183K/yr - $200K/yr
8+ years expTradeStation is an online brokerage firm focused on delivering the ultimate trading experience for active traders and institutions. They are seeking a Director of Quality Engineering & AI-Driven Testing to lead the strategy, execution, and continuous improvement of quality engineering for their new enterprise-grade order management system.
Financial Services
Responsibilities
Evaluate and integrate AI-powered testing solutions (e.g., intelligent test generation, self-healing scripts, predictive defect analytics) to measurably improve automation efficiency and coverage
Lead, mentor, and develop a high-performing quality engineering team dedicated to the enterprise order management system, with clear roles, career paths, and operating rituals
Establish and implement robust test automation frameworks for APIs and web UI that improve coverage, speed, and reliability across critical workflows
Drive cross-functional collaboration with Product, Engineering, DevOps, and Security to embed QA in the SDLC, align on quality goals, and ensure secure, timely delivery
Architect scalable strategies for synthetic and production-like test data, dynamic environment provisioning, and seamless CI/CD pipeline integration to support continuous testing
Define and track key quality metrics, deliver actionable insights to stakeholders, and drive continuous, data-informed quality improvements
Lead the evaluation, selection, and lifecycle management of modern testing tools across API, UI, end-to-end, and performance testing, aligned with enterprise standards
Champion manual and exploratory testing to uncover edge cases, usability issues, and complex scenarios not suited for automation
Ensure thorough documentation of test cases, testing processes, and best practices to support knowledge sharing, onboarding, and audit compliance
Promote a quality-first culture through training, shift-left testing, and embedding quality gates throughout development
Drive standardization of testing tools, processes, and reporting across teams for consistency, scalability, and maintainability
Ensure AI-enhanced testing practices are scalable, explainable, and aligned with enterprise QA standards
Apply AI/ML to speed up test case creation, optimization, and regression prioritization
Use predictive and anomaly-detection models to identify high-risk areas and uncover edge-case failures
Leverage LLMs/NLP to translate trading rules into executable test scenarios
Utilize AI-enabled automation frameworks and intelligent test tools to reduce manual effort
Interpret model outputs and use explainable-AI insights to improve QA reporting and decision-making
Qualification
Required
Proven expertise architecting and scaling automated test frameworks for APIs (REST/GraphQL/gRPC) and web UI using leading industry tools, with a focus on reliability and maintainability
Deep familiarity with CI/CD pipelines, test environments, and release management, including integration of quality gates and reporting
Excellent leadership, communication, and stakeholder management skills, with a track record of cross-functional collaboration
Ability to thrive in a fast-paced, results-driven environment and drive continuous improvement in testing practices
Demonstrated success applying AI/ML techniques within QA frameworks to optimize test coverage, defect prediction, and release confidence
Ability to foster a culture of innovation and continuous learning by encouraging experimentation and adopting emerging technologies and practices
Established track record of partnering with Product, Engineering, DevOps, and Security leaders to align on quality goals and accelerate delivery through shared accountability
Experience with cloud infrastructure and automated provisioning (AWS), including environment orchestration for testing
Bachelor's degree in Computer Science or Engineering or equivalent experience
8+ years in quality engineering experience, including 3+ years leading automation initiatives at scale
Preferred
Experience with enterprise order management systems or other transactional platforms
Applied AI/ML approaches to software testing and optimization
Knowledge of regulatory and compliance frameworks for financial transaction systems
Benefits
Collaborative work environment
Competitive Salaries
Yearly bonus
Comprehensive benefits for you and your family starting Day 1
Unlimited Paid Time Off
Flexible working environment
TradeStation Account employee benefits, as well as full access to trading education materials
Company
TradeStation
Welcome to the home of those who were born to trade! We empower natural-born traders to hone their strategies with an advanced platform & brokerage services.
501-1000 employees
H1B Sponsorship
TradeStation has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2022 (1)
2020 (1)
Funding
Current Stage
Late StageLeadership Team
John Bartleman
Chief Executive Officer, TradeStation Crypto, Inc.
Michael Fisch
Chief Technology Officer
Company data provided by crunchbase