About this opportunity
United Airlines lists this Principal- Quality Engineering opportunity in chicago, Illinois. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network.
Come join us to create what's next. Let's define tomorrow, together.
Description
United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.
As a Principal Quality Engineer, this role will serve as the technical leader and subject matter expert for Quality Engineering, Test Automation, and Agentic Testing across the enterprise. The position will define the technical vision, architecture, standards, and roadmap for next-generation quality platforms that leverage intelligent automation, Generative AI, observability, and autonomous testing capabilities to improve software quality, engineering productivity, and delivery speed.
The Principal Quality Engineer is responsible for designing and implementing enterprise-scale automation frameworks, AI-powered testing solutions, and quality intelligence platforms that enable teams to proactively predict, prevent, detect, and resolve quality issues throughout the Software Development Lifecycle (SDLC). This role will partner closely with Engineering, Product, Platform, DevOps, Security, and Data teams to ensure quality is embedded into every stage of software delivery.
As a technical leader, this individual will drive the adoption of Agentic Quality Engineering practices, including autonomous test generation, intelligent test execution, self-healing automation, defect prediction, and AI-assisted root cause analysis. The position will establish engineering standards, reference architectures, and governance frameworks that ensure quality solutions are scalable, maintainable, secure, and aligned with enterprise objectives.
The Principal Quality Engineer will continuously evaluate emerging technologies, AI capabilities, and industry best practices, leading innovation initiatives and influencing engineering roadmaps across the organization. This position is accountable for advancing enterprise automation maturity, improving quality outcomes, and enabling the transition from traditional test automation to autonomous quality engineering.
Quality Roadmap Definition: Define and lead the enterprise technical strategy, architecture, standards, and roadmap for Quality
Engineering, Automation, and Agentic Testing capabilities
Scale Automation: Design and implement scalable automation frameworks and AI-powered quality platforms that improve software quality, engineering productivity, and delivery efficiency
AI-Driven Innovation: Drive the adoption of Agentic Quality Engineering practices, including autonomous test generation, intelligent test execution, self-healing automation, and AI-assisted defect analysis to improve efficiency, coverage, and delivery speed
Technical Execution and Governance: Establish governance, engineering standards, and best practices for automation, AI-enabled testing, quality intelligence, and continuous testing solutions
Cross-Functional Collaboration: Partner with Engineering, Product, Platform, Security, DevOps, and Data teams to embed quality, automation, and observability throughout the SDLC, defining modern quality gates with high standards for engineering excellence
High-Performance and Data-Driven: Leverage quality analytics, observability, production telemetry, and predictive models to identify risks, optimize testing strategies, leveraging quality metrics, AI effectiveness measures, operational KPIs, and customer outcomes to continuously improve software reliability and engineering efficiency
Strategic Leadership and Guidance: Lead innovation initiatives, evaluate emerging technologies, mentor engineering teams, and influence enterprise-wide quality transformation and automation maturity to build a state-of-the-art AI-enhanced quality engineering culture
Qualifications
What's needed to succeed (Minimum Qualifications):
Bachelor's degree
Computer Science, Engineering, Business Administration, or related field
5+ years of management experience in Quality Engineering or IT leadership related role
5+ years of experience implementing Test Automation frameworks
5+ years of experience in supporting release automation (CICD) and application performance testing
Strong project organizations skill, including prioritization, planning and organization
Experience with cloud, distributed, microservice, mainframe and desk top based technology
Understanding of AI-driven innovation and deployment of Agentic AI solutions for Autonomous test execution, Intelligent defect triage, risk prediction and Test prioritization
Experience in application development and testing, multiple major projects delivering of med-large scale projects/programs
Strong Programming Skills: Java, Selenium, Python or SQL
Must be legally authorized to work in the United States for any employer without sponsorship
Successful completion of interview required to meet job qualification
Reliable, punctual attendance is an essential function of the position
What will help you propel from the pack (Preferred Qualifications):
Master's degree
TMMI (Test Maturity Model Integration) Certification and/or knowledge
CSTE or any other Test Automation related certifications
5-10 years of experience in an Quality Engineering technical leadership related role
Experience in architecting the AI automation framework for UI, system interactions, agent flows, and multimodal input/output validation
Experience working with telemetry, logs, and debugging across large-scale systems
Experience with AWS
Experience in travel industry, especially airline related is a significant plus
Strong experience performing duties related to software quality engineering and design of automated solutions to automatically validate software builds to a variety of technologies
Experience with AI-driven innovation and deployment of Agentic AI solutions for Autonomous test execution, Intelligent defect triage, risk prediction and Test prioritization
Experienced in designing scalable automation frameworks and robust test data architectures with enterprise-grade software production code
Experience required in multiple technical platforms, operating systems, databases and development languages including but not limited to web, mobile, mainframe, cloud
Experience working within a multi-disciplined, cross-functional technical organization with matrixes reporting relationship
Community of Respect, Delighting the Customer, Transparency, Accountability, Performance
Strong oral and written communication skills
The base pay range for this role is $140,600.00 to $191,620.00.
The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards.
medical
dental
vision
life
accident & disability
parental leave
employee assistance program
commuter
paid holidays
paid time off
401(k)
flight privileges
United Airlines is an Equal Opportunity Employer. We recruit, employ, train, compensate, and promote without regard to race, color, religion, national origin, gender identity, sexual orientation, disability, age, veteran status, or any other protected category under applicable law. We provide reasonable accommodations for applicants and employees with disabilities. To request an accommodation, contact
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Worksite address
chicago, IL, 60290, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.