Pearson
Senior Automation Architect
🇺🇸 Durham, NC
🕑 Full-Time
💰 TBD
💻 Information Technology
🗓️ February 25th, 2025
CI/CD
Python
S3
Edtech.com's Summary
Pearson is hiring a Senior Automation Architect. The role involves leading the Functional Automation Center of Excellence, implementing advanced automation strategies within the Quality Engineering (QE) organization. Responsibilities include designing cutting-edge automation frameworks, integrating AI-powered solutions, managing a team of engineers, and optimizing processes to align with DevSecOps and CI/CD practices.
Highlights
- Lead and drive automation initiatives within the QE Automation Center of Excellence.
- Design and implement automation frameworks and integrate AI/ML technologies.
- Collaborate with DevOps and CISO teams for security and efficiency in CI/CD pipelines.
- Proficiency in tools such as Playwright, Cypress, Selenium, and licensed automation solutions like UiPath.
- Experience with AI models like GPT, Gemini, and RAG concepts.
- Expertise in cloud platforms (AWS, Sauce Labs) and programming languages like Java and Python.
- Bachelor’s degree in engineering; 12+ years in quality engineering and automation.
- Competitive salary and comprehensive benefits package.
- Opportunities for career growth and professional development.
Senior Automation Architect Full Description
Senior Automation Architect
Durham, NC
Workplace Type: On-site
- Job: ENGINEERING
- Schedule: FULL_TIME
- Req ID: 18673
About the Role
We are looking for an innovative and experienced Architect for QE Automation to lead the Functional Automation CoE and drive the adoption of advanced automation strategies within our QE organization. This role is perfect for a highly skilled professional with deep expertise in automation frameworks, AI/ML technologies, and cloud integrations. The successful candidate will be responsible for designing and evolving cutting-edge automation frameworks, integrating AI-powered solutions into QE, and optimizing processes to align with DevSecOps and CI/CD practices. Additionally, you will play a key role in establishing and enforcing QE standards, managing a talented team of engineers, and fostering continuous improvement to scale the quality of our products effectively.
Key Responsibilities:
- Lead and drive QE Automation CoE, spearheading AI/ML initiatives to enhance the quality assurance process and implement cutting-edge automation practices.
- Design, develop, and implement automation frameworks for functional testing, leveraging the latest technologies, industry best practices, and scalable solutions.
- Define and enforce QE automation standards and best practices to ensure consistency and excellence across the organization.
- Collaborate with DevOps and CISO teams to seamlessly integrate automation processes and security protocols into the CI/CD pipelines, ensuring a secure and efficient delivery pipeline.
- Create and maintain scalable automation solutions that support cross-functional teams, ensuring the delivery of high-quality products at enterprise scale.
- Develop and execute strategic QE automation initiatives, overseeing projects across enterprise to ensure alignment with organizational goals and delivery excellence.
- Lead the adoption of Generative AI, Large Language Models (LLMs), RAG and other AI services to automate and optimize testing processes, enhancing efficiency and scalability.
- Design and build applications, tools, libraries, and handlers that support automation, incorporating AI to optimize STLC.
- Mentor and manage a high-performance team of Automation and AI engineers, fostering professional growth, skill development, and innovative thinking.
- Continuously research and stay at the forefront of automation technologies and AI advancements to ensure the QE Automation CoE remains innovative and competitive.
- Work closely with key stakeholders to ensure that automation processes align with broader business goals, maximizing impact and value at scale. Preferred Skills: Expertise in designing, developing, and managing automation frameworks such as Playwright, Cypress, Selenium, Karate, Rest Assured, Appium, Cucumber and Serenity.
- Experience with licensed automation tools such as UiPath, UFT, Tosca.
- Proficiency in AI/ML technologies, with a focus on Generative AI models like GPT, Gemini, and Claude
- Familiarity with RAG (Retrieval-Augmented Generation) concepts and their application within automation processes.
- Expertise in integrating AI services to enhance functional automation and optimize processes.
- In-depth knowledge of cloud platforms (e.g., AWS EC2, S3, Sauce Labs, BrowserStack, SeeTest) along with experience using GitLab, GitHub, ADO and managing CI/CD pipelines.
- Proficient in programming languages such as Java, Python, or other relevant languages.
- Strong ability to define version control, job scheduling, and coding standards across domains.
- Expertise in cloud infrastructure and cloud-based applications, with hands-on experience in automation across cloud platforms.
- Proven experience in leading and developing teams in a center of excellence (CoE) environment, driving automation excellence across the organization.
Qualifications:
- Bachelor’s degree in engineering, or a related field.
- 12+ years of experience in quality engineering and automation, with a strong focus on building scalable frameworks and integrating AI/ML technologies.
- Proven experience in leading QE automation initiatives (Center of Excellence - CoE) across large organizations, particularly in functional automation and AI integration.
- Extensive hands-on experience in designing and implementing automation frameworks and tools for complex applications and large-scale systems.
- Strong leadership and communication skills with a track record of managing and mentoring teams.
- Exceptional problem-solving skills and in-depth knowledge of software development and testing lifecycle.
- Ability to influence organizational vision and strategy, championing the adoption of cutting-edge technologies and best practices.
Why Join Us?
- Work in a dynamic and innovative environment with a talented team of professionals.
- Be at the forefront of AI/ML and automation in the quality engineering domain.
- Opportunities for professional development, career growth, and leadership advancement.
- Comprehensive benefits package and competitive salary.
- Be part of a company that values diversity, inclusion, and innovation.
If you are a passionate and innovative QE Automation Architect with a strong background in leading automation initiatives and integrating cutting-edge AI/ML technologies, we would love to hear from you. Apply now to join our team and help us drive automation excellence and innovation in 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.
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