Verizon, Principal Engineer - AI QA Test Automation - Application via WayUp

WayUp; Alpharetta (GA); Hybrid; USD 90,000 - 140,000; Full time

Job summary

An innovative company is seeking a Principal Engineer for QA Test Automation to spearhead automation strategies and integrate AI solutions into testing frameworks. This hybrid role offers the opportunity to lead a talented team, design robust automation frameworks, and collaborate across functions to enhance testing processes. You'll be at the forefront of technology, driving efficiency and quality in a fast-paced environment. If you have a passion for automation and AI, and are ready to make a significant impact, this role is perfect for you.

Qualifications

• 5+ years of experience in automation testing with a strong focus on AI integration.
• Expertise in automation frameworks and proficiency in programming languages.

Responsibilities

• Lead the development of automation strategies for web and service applications.
• Mentor a team of engineers while integrating AI solutions into testing frameworks.

Skills

Automation Testing

AI/ML Tools

Selenium

Python

Java

CI/CD Pipelines

Stakeholder Management

Education

Bachelor's Degree

Bachelor's Degree in Computer Science

Tools

Selenium

TestNG

JUnit

TensorFlow

PyTorch

JMeter

LoadRunner

Job description

Join to apply for the Verizon, Principal Engineer - AI QA Test Automation - Application via WayUp role at WayUp

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This role is with Verizon. WayUp is partnering with Verizon to hire top talent.

What you’ll be doing...

Verizon is looking for a Principal Engineer - QA Test Automation to lead and transform our web and service automation testing frameworks while integrating AI solutions into our testing ecosystem. This role will drive the strategic execution and optimization of automation and AI initiatives, ensuring high-quality deliverables and operational excellence. The position will be responsible for developing and executing effective test automation strategies specifically for mobile app, web and services testing for all Value segments and infusing AI to reduce time and save cost, collaborating with business and technical teams to ensure quality, and leading a team of QA professionals.

Responsibilities:

1. Leading the development and implementation of a comprehensive automation strategy for web and service applications.
2. Designing and managing scalable and robust automation frameworks for functional, performance, and regression testing.
3. Evaluating and integrating AI/ML-driven tools to improve test case generation, defect prediction, and testing accuracy.
4. Collaborating with cross-functional teams (Development, DevOps, QA) to embed automation and AI solutions into CI/CD pipelines.
5. Staying ahead of emerging trends and technologies in AI and automation, bringing innovative solutions to the organization.
6. Mentoring and coaching a team of engineers, fostering a culture of continuous learning and technical excellence.
7. Defining and tracking KPIs for automation and AI initiatives, ensuring alignment with business goals.
8. Managing resource allocation, budgets, and timelines for automation and AI projects.

Where you’ll be working...

This hybrid role will have a defined work location that includes work from home and assigned office days as set by the manager.

You’ll need to have...

1. Bachelor’s degree or four or more years of work experience.
2. Five or more years of relevant work experience, demonstrated through one or a combination of work and/or military experience or specialized training.
3. Experience in automation testing.
4. Expertise in automation frameworks like Selenium, TestNG, JUnit, or similar.
5. Experience with AI/ML tools and techniques, particularly in testing and defect management.

Even better if you have...

1. Bachelor’s degree in Computer Science or related field.
2. Strong programming skills in languages like Python, Java, or similar.
3. Deep understanding of CI/CD pipelines and cloud-based testing environments.
4. Exceptional communication and stakeholder management skills.
5. Ability to adapt to and drive change in a fast-paced, dynamic environment.
6. Experience in continuous improvement initiatives, root cause analysis.
7. Certifications in AI/ML or Automation Testing tools.
8. Experience with tools like TensorFlow, PyTorch, or other AI frameworks.
9. Knowledge of performance testing tools like JMeter, LoadRunner, etc.
10. Familiarity with Agile and DevOps methodologies.

Note: The description includes details about benefits, salary ranges, and company culture, which are relevant for candidates to understand the role and organization.