Pearson
Lead Quality Engineer
🇺🇸 Hybrid - Durham, NC
🕑 Full-Time
💰 TBD
💻 Quality Assurance
🗓️ February 26th, 2025
CI/CD
DynamoDB
Python
Edtech.com's Summary
Pearson is hiring a Lead Quality Engineer. This role involves leading the QE automation team, implementing advanced test automation strategies, and integrating AI-driven solutions into Quality Engineering processes for web applications. The candidate will design, develop, and maintain automation frameworks, collaborate with cross-functional teams, and oversee the execution of automation tests, while driving continuous improvement in a collaborative environment.
Highlights
- Lead and manage QE Automation team.
- Implement advanced test automation strategies using frameworks like Selenium, TestNG, and Cucumber BDD.
- Develop and maintain automation frameworks.
- Integrate CI/CD pipelines and AI/ML technologies into processes.
- Proficiency in Java and Python for test automation.
- Competitive salary with comprehensive benefits.
- Bachelor’s degree in engineering or related field required.
- 8-10 years of experience in Quality Engineering focused on test automation.
- Opportunities for professional growth and innovation within a talented team.
Lead Quality Engineer Full Description
Lead Quality Engineer
Durham, NC
Workplace Type: Hybrid
- Job: ENGINEERING
- Schedule: FULL_TIME
About the Role
We are seeking a dynamic and experienced QE Automation Lead with a strong focus on test automation and cutting-edge automation frameworks. This role is ideal for professionals with 8+ years of experience in functional automation processes, frameworks, and tools, with hands-on experience in web automation. The successful candidate will be responsible for leading the QE automation team, implementing advanced test automation strategies, and integrating AI-driven solutions into Quality Engineering processes. This role offers an exciting opportunity to shape automation standards, manage teams, and innovate within a collaborative, agile environment.
Key Responsibilities:
- Lead and manage the QE Automation team, driving the implementation of advanced test automation strategies for Web using Selenium, TestNG, JUnit, Cucumber BDD, or Hybrid frameworks.
- Design, develop, and maintain automation frameworks for web applications, ensuring best practices are followed and tools are optimized for performance.
- Collaborate with cross-functional teams to ensure that automation processes are aligned with business goals and technical requirements.
- Implement CI/CD pipelines for automation workflows, ensuring timely and efficient software delivery.
- Oversee and ensure the smooth execution of automation tests across web applications and related environments, ensuring thorough test coverage.
- Drive the integration and adoption of AI/ML technologies, including LLMs and RAG, to continuously optimize automation frameworks, enhance test coverage, and improve test efficiency.
- Provide mentorship to team members, fostering a culture of continuous improvement and professional development within the team.
- Maintain strong relationships with key stakeholders and ensure effective communication regarding the progress of automation initiatives.
Preferred Skills:
- Strong hands-on experience with Selenium, TestNG, Cucumber BDD, and other similar frameworks.
- Ability to independently understand, configure, and update automation framework components for web applications.
- Strong proficiency in programming languages such as Java and Python for test automation scripting.
- Familiarity with API automation and experience with tools like Postman or Rest Assured is an added advantage.
- Knowledge of AI/ML technologies, particularly Large Language Models (LLMs) such as GPT, Gemini, or Claude for automation integration is advantageous.
- Strong understanding of Retrieval-Augmented Generation (RAG) methodologies, including the implementation of query handling and algorithms to enhance AI-driven automation processes.
- Experience evaluating AI products based on domain-specific metrics like context, ethics, bias, and performance to ensure model effectiveness for automation.
- Proficiency in NLP and text generation using transformers, attention mechanisms, and tokenization.
- CI/CD pipeline experience with tools like GitLab, Jenkins, and ADO for seamless automation and testing workflows.
- Experience working with cloud-based automation tools like Sauce Labs, Browser Stack, or SeeTest.
- Test/defect management tools experience, including ALM, JIRA, or similar.
- Familiarity with core AWS services, including DynamoDB, EC2, S3, VPC, and ELB.
Qualifications:
- Bachelor’s degree in engineering or a related field.
- 8-10years of experience in Quality Engineering, with a focus on test automation and web application testing.
- Extensive experience in functional automation frameworks and related tools.
- Solid understanding of CI/CD processes and automation integration into development workflows.
- Proven ability to drive the adoption of AI/ML technologies within QE, enhancing automation capabilities and overall testing efficiency.
- Ability to work in a collaborative and agile environment, balancing leadership with hands-on technical expertise.
- Excellent problem-solving and analytical skills with a focus on continuous improvement.
Why Join Us?
- Work in a cutting-edge technology environment with a talented and passionate team.
- Opportunities for professional growth and career advancement.
- Comprehensive benefits package and competitive salary.
- Be part of a company that values diversity, inclusion, and innovation.
If you are a passionate QE Automation Lead with expertise in AI-driven solutions and a drive to innovate, we would love to hear from you. Apply now to join our team and help us transform the future of automation and quality engineering!
Who we are:
At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.
Pearson is an Affirmative Action and Equal Opportunity Employer and a member of E-Verify. We want a team that represents a variety of backgrounds, perspectives and skills. The more inclusive we are, the better our work will be. All employment decisions are based on qualifications, merit and business need. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We strive for a workforce that reflects the diversity of our communities.
If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing TalentExperienceGlobalTeam@grp.pearson.com.
Note that the information you provide will stay confidential and will be stored securely. It will not be seen by those involved in making decisions as part of the recruitment process.
