Minimum of 7 years of software quality assurance/quality engineering experience in agile development environments in a large, regulated financial services (preferably banking) environment is required
Minimum of 3 years in a lead role
Skills & Knowledge :
Working knowledge of Financial domain and Capital Markets with Front Office/Back Office operational is highly desirable
Working knowledge of Workday GL, HCM and Payroll is nice to have
Proven track record of driving QE transformations and implementing AI in testing.
Proficiency with automation tool stack: UiPath, Selenium, Playwright, FitNesse, or equivalent automation skills that proves ability to design, test, and debug automation code.
Strong understanding of DevOps principles, CI/CD pipelines, and tools.
Knowledge of TDD (Test Driven Development) and BDD (Behavior Driven Development)
Working knowledge of complex SQL and experience with ETL processes.
Strong knowledge of Object-Oriented Programming (OOP) concepts and proficiency in at least one programming language (eg: Python, Java, Java Script)
Knowledge of robotic process automation (RPA) concepts
Experience with industry standard testing and defect management tools (e.g. XRAY, ALM, JIRA, Confluence)
Deep understanding of Agile principles and practices, including Scrum and Kanban
Knowledge of the Scaled Agile Framework and experience working within an ART is preferred
Excellent troubleshooting skills to identify root cause of complex issues required
Strong time management skills and ability to juggle priorities with a history of meeting commitments
Critical thinker with strong analytical and problem-solving skills
Excellent verbal and written communication skills
Ability to perform on high visibility initiatives and prove a direct positive impact on customer experience
Benefits
Vision insurance
Additional Information
Job Description:
Purpose :
A Quality Assurance Engineering (QE) Lead possesses expertise in transforming traditional QA processes into a QE model, leveraging AI for test case authoring and automation, and integrating testing within the DevOps pipeline to drive continuous improvement and engineering excellence. Supports the organization's vision to cultivate a culture of quality, shifting testing left within the entire software development lifecycle and delivers consistent and value-added solutions aligned with business needs/goals. Promotes continuous learning and staying ahead of industry trends in quality engineering and AI and mentors a high-performing team to deliver scalable, reliable testing solutions.
Major Accountabilities :
Quality Engineering Responsibilities:
Lead the transformation of our existing QA function into a mature, engineering-focused, high-impact Quality Engineering practice that emphasizes defect prevention over detection.
Leverage AI/ML techniques for test case authoring, automation, execution optimization, defect prediction, and predictive quality insights.
Optimize advanced test automation frameworks and work with DevOps to integrate testing seamlessly into CI/CD pipelines to enable rapid, continuous deployment.
Partner with Business teams/analysts, project managers, development teams, and QA to define comprehensive testing strategies and ensure complete coverage.
Facilitate cross-functional meetings and workstreams to align on business needs and ensure the delivery of high-quality solutions.
Develop and maintain robust automated test scripts across various types of testing, including functional, integration, regression, performance, and API testing
Lead defect triage activities, facilitating cross-functional collaboration with business stakeholders, implementation partners (both internal and external), and development teams to drive timely resolution and closure of defects.
Develop QA artifacts - test plans, requirement traceability matrices, and test acceptance reports - and manage the approval workflow among relevant stakeholders
Establish key performance indicators (KPIs) for the QE function and regularly report on quality metrics, using data driven insights to guide continuous improvement efforts.
Lead Responsibilities:
Lead a team of employees/consultants
Work with onsite and offshore team members to delegate, prioritize and manage testing tasks and deliverables
Mentor and guide team members on modern quality engineering practices and discover training needs.
Monitor team performance and report on metrics
Ensure that the team is consistently delivering quality solutions to the highest standards
Verify that the team is adhering to our commitment of principles and practices
Understand and communicate process methodologies used in the bank
Provide guidance in planning and executing assigned tasks
Communicate timely, content relevant information to stakeholders including escalation of key issues and risks
Education/Experience/Skills/Knowledge :
Education: Bachelor's degree in Computer Science, Engineering, Accounting, Finance, or a related field, or equivalent work experience, is required
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