QA Lead- AI / Automation Testing ::: FTE ::: Remote

AI Led – Automation Testing :

Fulltime role

Remote (East/Central Coast) only

QA Lead- 12+ years:

• Looking for a QA lead with 8+ years of experience in Quality Engineering, Test Automation, API/ UI testing CI/CD and AI-led testing, with strong technical leadership and the ability to defile and drive QA Strategy
• Strong experience in software quality engineering, test strategy, test planning, and QA leadership across enterprise applications.
• Ability to define and drive the overall Quality Engineering strategy, establish automation and quality standards, identify risks early, and continuously improve the organization's testing maturity and release quality.
• Strong hands-on experience in API testing and automation using REST/SOAP services.
• Expertise in UI automation testing using Selenium or equivalent frameworks.
• Experience designing and implementing test automation frameworks using Java, Python, JavaScript, or similar technologies.
• Strong experience in functional, integration, regression, system, API, and end-to-end testing.
• Experience integrating automated testing with continuous integration and continuous delivery (CI/CD) environments.
• Strong knowledge of Agile/Scrum, Shift-Left Testing, Continuous Testing, and Quality Engineering practices.
• Experience with SQL and database validation, including MySQL/SQL Server or equivalent databases.
• Strong understanding of JSON, XML, REST APIs, SOAP, web services, and microservices architectures.
• Strong experience with cloud environments, preferably Pivotal Cloud Foundry and/or AWS/Azure/Google Cloud Platform.
• Knowledge of Splunk or equivalent production monitoring tools for log analysis, troubleshooting, and root-cause identification.
• Experience establishing QA metrics, quality gates, defect management, test coverage, and release-readiness criteria.
• Ability to lead test automation strategy and framework modernization, reducing manual testing and improving release velocity.
• Strong experience in AI-led Quality Engineering, leveraging AI/GenAI capabilities to improve test planning, test design, automation, execution, defect analysis, and overall software quality.
• Preferably generating test case and script creation using copilot.
• Experience using AI-assisted test generation and automation tools to generate test scenarios, test cases, automation scripts, regression suites, and test data.
• Experience leveraging AI/GenAI for defect analysis, root-cause analysis, log analysis, failure prediction, and intelligent test prioritization.
• Experience evaluating and adopting AI-powered QA/testing tools to improve testing efficiency, coverage, productivity, and quality.
• Hands-on experience with AI development/productivity tools such as GitHub Copilot or equivalent AI tools, with the ability to apply them effectively in QA automation and Quality Engineering activities.
• Ability to identify opportunities where AI can replace or augment repetitive manual QA activities and drive measurable improvements in automation and productivity.
• Understanding of AI/ML application testing, including validation of AI-driven functionality, data quality, model behavior, accuracy, reliability, and edge cases, where applicable.
• Experience mentoring QA engineers and providing technical leadership across distributed and cross-functional teams.
• Strong collaboration skills with Development, Product, Architecture, DevOps, and Business teams.
• Excellent technical communication skills with the ability to communicate effectively with technical and non-technical stakeholders.
• Strong analytical and problem-solving skills with the ability to identify root causes, assess impact, define action plans, and drive issues to closure.
• Experience delivering quality solutions in financial/banking applications is preferred.
• Strong attention to detail and ability to work effectively in a dynamic, fast-paced environment.