Quality Engineering Lead***Hybrid in Horsham, PA

About The Role

This position serves as a lead for a team of Quality Engineers and is expected to operate as an enterprise Quality Engineering leader, influencing strategy, standards, tooling, and quality outcomes across the Commercial IP, Life Sciences, and Government IP organizations. The role requires close collaboration with business, product, engineering, operations, and technology leadership teams to establish and drive consistent quality standards, automation strategies, performance testing practices, and continuous improvement initiatives across multiple business units. The individual will be expected to identify opportunities for standardization, operational efficiencies, and reuse of testing frameworks and processes across the enterprise. This position may have responsibility for the direct management of Quality Engineers and therefore requires prior people leadership experience, including coaching, mentoring, performance management, workforce planning, and talent development.

Conditions Of Employment

You must be a U.S. citizen to apply for this position. You must successfully pass a background investigation and achieve Public Trust security clearance. Must be located near the Horsham, PA location for a Hybrid onsite schedule

Requirements

• Strong foundation in QA methodologies, SDLC/STLC, Agile, Scrum, and DevOps practices
• Expertise in test automation using Playwright, Selenium, Cypress, Appium, with multi-language scripting (Java, JavaScript/TypeScript, Python, C#)
• Design and implementation of scalable automation frameworks (POM, data-driven, keyword-driven, hybrid, BDD)
• Proficient in API testing (Postman, REST Assured, SoapUI, Swagger/OpenAPI) and microservices/GraphQL validation
• Performance and load testing using JMeter, LoadRunner, and monitoring tools like Grafana
• Integration of automated testing into CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps, GitLab CI)
• Source control and code quality management (Git ecosystem, SonarQube)
• Strong defect tracking and test management using Jira and Azure DevOps
• Database validation experience across Oracle, SQL Server, PostgreSQL, and MySQL
• Experience with cloud platforms (AWS, Azure, GCP) and containerized environments (Docker, Kubernetes)
• Knowledge of security and accessibility testing (OWASP ZAP, Burp Suite, axe)
• Test reporting and analytics using Allure, Extent Reports, TestNG/JUnit
• Experience with service virtualization and mocking tools such as WireMock and Mockito
• AI fluency, including experience leveraging AI-assisted software development and Quality Engineering tools to improve test design, automation, defect analysis, and engineering productivity
• Understanding of Generative AI and Large Language Models (LLMs), including prompt engineering, AI-assisted test generation, and AI-powered testing capabilities
• Strong analytical, troubleshooting, root cause analysis, and problem-solving skills
• Excellent communication, stakeholder management, leadership, mentoring, and cross-functional collaboration skills
• Strong understanding of process improvement, quality metrics, risk assessment, and software quality governance

Skills

• AI-assisted software development and Quality Engineering tools
• Generative AI and Large Language Models (LLMs)

Qualifications

• Strong foundation in QA methodologies, SDLC/STLC, Agile, Scrum, and DevOps practices
• Expertise in test automation using Playwright, Selenium, Cypress, Appium, with multi-language scripting (Java, JavaScript/TypeScript, Python, C#)
• Design and implementation of scalable automation frameworks (POM, data-driven, keyword-driven, hybrid, BDD)
• Proficient in API testing (Postman, REST Assured, SoapUI, Swagger/OpenAPI) and microservices/GraphQL validation
• Performance and load testing using JMeter, LoadRunner, and monitoring tools like Grafana
• Integration of automated testing into CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps, GitLab CI)
• Source control and code quality management (Git ecosystem, SonarQube)
• Strong defect tracking and test management using Jira and Azure DevOps
• Database validation experience across Oracle, SQL Server, PostgreSQL, and MySQL
• Experience with cloud platforms (AWS, Azure, GCP) and containerized environments (Docker, Kubernetes)
• Knowledge of security and accessibility testing (OWASP ZAP, Burp Suite, axe)
• Test reporting and analytics using Allure, Extent Reports, TestNG/JUnit
• Experience with service virtualization and mocking tools such as WireMock and Mockito
• AI fluency, including experience leveraging AI-assisted software development and Quality Engineering tools to improve test design, automation, defect analysis, and engineering productivity
• Understanding of Generative AI and Large Language Models (LLMs), including prompt engineering, AI-assisted test generation, and AI-powered testing capabilities
• Strong analytical, troubleshooting, root cause analysis, and problem-solving skills
• Excellent communication, stakeholder management, leadership, mentoring, and cross-functional collaboration skills
• Strong understanding of process improvement, quality metrics, risk assessment, and software quality governance

Pay

$115,400 - $192,300

Schedule

Hybrid onsite schedule