At LPL Financial, the business problem is to enhance engineering best practices, tools, design patterns, and frameworks by integrating AI-based quality gates and observability into CI/CD pipelines, and to create and maintain synthetic and production-like data scenarios using AI-powered data generation tools to support comprehensive test coverage.
Requirements
- Minimum of 10 years of hands-on experience in software development and test automation, with advanced concurrent programming skills in Java/Python and exposure to AI-assisted development tools.
- Minimum of 6 years of leadership experience managing multiple initiatives, including AI-driven quality engineering programs and cross-functional automation strategies.
- Minimum of 4 years of experience designing and building scalable automation frameworks, with a focus on integrating AI/ML for intelligent test generation and maintenance.
- Minimum of 4 years of experience in API testing (SOAP and REST/Microservices), including the use of AI tools for contract validation and anomaly detection.
- Minimum of 4 years of experience with test frameworks such as JUnit, TestNG, and tools for UI/Mobile testing, enhanced by AI-based visual validation and test optimization.
- Proven experience with CI/CD pipelines, including integration of AI for test impact analysis, release risk prediction, and automated quality gates.
- Strong SQL expertise, capable of writing complex queries and leveraging AI for data validation, anomaly detection, and test data generation.
Responsibilities
- Collaborate with product, engineering, and cross-functional domain teams to understand features, develop and automate test cases, and drive continuous improvement in product quality and release velocity.
- Apply diverse software testing methodologies—including AI-driven test generation and predictive analytics—to ensure robust and scalable software delivery.
- Coordinate and lead end-to-end (E2E) testing efforts across domains, leveraging AI tools for test orchestration, anomaly detection, and intelligent defect triaging.
- Identify manual processes and implement intelligent automation solutions using AI/ML frameworks to optimize testing efficiency and reduce cycle time.
- Participate in code reviews, advocating for clean code principles and AI-assisted static analysis tools to enhance code quality and maintainability.
- Analyze test results using AI/ML models to detect patterns, predict defect-prone areas, and proactively improve test strategies.
- Document and track bugs to closure, incorporating AI-based prioritization and root cause analysis to streamline defect management.
Other
- Master’s or Bachelor’s Degree in Computer Science or a related field, with a strong foundation in software engineering principles and AI/ML fundamentals.
- We’re looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments.
- Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed.
- We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work.
- Self-motivated with a positive attitude, capable of independently driving AI innovation in quality engineering.
