Manager - IT Quality

The Manager – Quality Engineering, Automation & Agentic AI at United Airlines Business Services Pvt. Ltd is responsible for leading the transformation of quality engineering from traditional testing to automation-led, intelligence-driven practices. The role involves designing and implementing scalable automation frameworks, embedding quality controls into CI/CD pipelines, and enabling AI-powered quality capabilities across enterprise applications. Key responsibilities include defining quality engineering strategies, driving adoption of automation, and collaborating with cross-functional teams to improve deployment confidence and reduce late-cycle risk. The ideal candidate will have a bachelor’s degree in a relevant field, over 10 years’ experience in quality engineering or software testing, and at least 7 years leading quality engineering teams. Proficiency in automation tools, cloud-native platforms, and DevOps practices is essential.

The Manager – Quality Engineering, Automation & Agentic AI at United Airlines Business Services Pvt. Ltd is responsible for leading the evolution of quality engineering from traditional testing to modern, automation-driven, intelligence-based practices. This role focuses on building scalable automation frameworks, embedding quality controls into CI/CD pipelines, and enabling AI-powered quality capabilities across enterprise applications. The successful candidate will drive measurable quality outcomes, foster a culture of innovation, and collaborate with cross-functional teams to improve engineering productivity. The position offers opportunities to work with cutting-edge technology and contribute to the development of the best airline in aviation history. Compensation and benefits are not specified in the 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.

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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.

Job Overview

The Manager – Quality Engineering, Automation & Agentic AI will lead the evolution of Quality Engineering from traditional testing to modern, automation-led, intelligence-driven quality practices. This role is accountable for building scalable automation frameworks, embedding quality controls into CI/CD pipelines, improving release confidence, and enabling AI-powered quality capabilities across enterprise applications.

The ideal candidate combines strong technical depth in automation architecture, API and integration testing, cloud-native quality engineering, performance engineering, and DevOps quality practices with the ability to lead teams, influence engineering partners, and drive measurable quality outcomes.

Key Responsibilities

· Define and execute the Quality Engineering strategy, automation roadmap, and engineering standards across multiple products and technology stacks.

· Lead design, modernization, and adoption of scalable automation frameworks covering UI, API, integration, contract, mobile, and end-to-end testing.

· Embed continuous testing, automated quality gates, and release-readiness controls into CI/CD pipelines to improve deployment confidence and reduce late-cycle risk.

· Drive Agentic AI-enabled quality capabilities including autonomous test generation, test maintenance, defect analysis, regression optimization, and intelligent release validation.

· Establish quality practices for cloud-native, microservices, distributed, and event-driven architectures, with strong focus on API reliability and integration validation.

· Lead performance engineering, resiliency testing, observability-led quality validation, and production quality feedback loops.

· Partner with Engineering, Architecture, Product, DevOps, and Release teams to shift quality left, reduce escaped defects, and improve engineering productivity.

· Coach QE leads and engineers, build technical capability, and foster a culture of innovation, ownership, and continuous improvement.

This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc.

Qualifications

What’s Needed to Succeed

· Bachelor’s degree in Computer Science, Software Engineering, Information Technology, Engineering, or a related field.

· 10+ years of experience in Quality Engineering, Software Testing, Test Automation, or Software Engineering.

· 7+ years of experience leading Quality Engineering, Automation Engineering, or SDET teams.

· Proven experience designing, implementing, and scaling enterprise automation frameworks.

· Strong hands-on understanding of Agile, DevOps, CI/CD, continuous testing, and release quality practices.

· Experience supporting enterprise applications with complex integrations, distributed systems, and modern delivery models.

· Automation & Testing: Selenium, Playwright, Rest Assured, ReadyAPI, Postman, AccelQ, BDD frameworks, Groovy scripting, reusable automation libraries, and test data strategies.

· Programming & Engineering: Strong Java experience, object-oriented design, debugging, root cause analysis, framework design patterns, and reusable engineering components.

· API & Integration: REST services, contract testing, service virtualization, messaging frameworks, backend validation, and enterprise integration testing.

· Cloud & Architecture: AWS services, cloud-native platforms, microservices, distributed systems, containerized environments, and event-driven computing patterns.

· DevOps & Observability: Azure DevOps, GitHub, Jenkins, Harness, Jira, Datadog, Kibana, Splunk, and application monitoring platforms.

· AI & Agentic Quality: Practical understanding of LLMs, AI agents, RAG, MCP, AI orchestration patterns, Copilot Studio, Azure AI Foundry, OpenAI, Lang Graph, or similar AI agent frameworks.

Preferred Qualifications

· Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.

· Experience in airline, transportation, travel, hospitality, or other large-scale operational technology domains.

· Experience implementing AI-driven testing, autonomous quality gates, intelligent release validation, or Agentic AI solutions.

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.

Job Overview

The Manager – Quality Engineering, Automation & Agentic AI will lead the evolution of Quality Engineering from traditional testing to modern, automation-led, intelligence-driven quality practices. This role is accountable for building scalable automation frameworks, embedding quality controls into CI/CD pipelines, improving release confidence, and enabling AI-powered quality capabilities across enterprise applications.

The ideal candidate combines strong technical depth in automation architecture, API and integration testing, cloud-native quality engineering, performance engineering, and DevOps quality practices with the ability to lead teams, influence engineering partners, and drive measurable quality outcomes.

Key Responsibilities

· Define and execute the Quality Engineering strategy, automation roadmap, and engineering standards across multiple products and technology stacks.

· Lead design, modernization, and adoption of scalable automation frameworks covering UI, API, integration, contract, mobile, and end-to-end testing.

· Embed continuous testing, automated quality gates, and release-readiness controls into CI/CD pipelines to improve deployment confidence and reduce late-cycle risk.

· Drive Agentic AI-enabled quality capabilities including autonomous test generation, test maintenance, defect analysis, regression optimization, and intelligent release validation.

· Establish quality practices for cloud-native, microservices, distributed, and event-driven architectures, with strong focus on API reliability and integration validation.

· Lead performance engineering, resiliency testing, observability-led quality validation, and production quality feedback loops.

· Partner with Engineering, Architecture, Product, DevOps, and Release teams to shift quality left, reduce escaped defects, and improve engineering productivity.

· Coach QE leads and engineers, build technical capability, and foster a culture of innovation, ownership, and continuous improvement.

This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc.

What’s Needed to Succeed

· Bachelor’s degree in Computer Science, Software Engineering, Information Technology, Engineering, or a related field.

· 10+ years of experience in Quality Engineering, Software Testing, Test Automation, or Software Engineering.

· 7+ years of experience leading Quality Engineering, Automation Engineering, or SDET teams.

· Proven experience designing, implementing, and scaling enterprise automation frameworks.

· Strong hands-on understanding of Agile, DevOps, CI/CD, continuous testing, and release quality practices.

· Experience supporting enterprise applications with complex integrations, distributed systems, and modern delivery models.

· Automation & Testing: Selenium, Playwright, Rest Assured, ReadyAPI, Postman, AccelQ, BDD frameworks, Groovy scripting, reusable automation libraries, and test data strategies.

· Programming & Engineering: Strong Java experience, object-oriented design, debugging, root cause analysis, framework design patterns, and reusable engineering components.

· API & Integration: REST services, contract testing, service virtualization, messaging frameworks, backend validation, and enterprise integration testing.

· Cloud & Architecture: AWS services, cloud-native platforms, microservices, distributed systems, containerized environments, and event-driven computing patterns.

· DevOps & Observability: Azure DevOps, GitHub, Jenkins, Harness, Jira, Datadog, Kibana, Splunk, and application monitoring platforms.

· AI & Agentic Quality: Practical understanding of LLMs, AI agents, RAG, MCP, AI orchestration patterns, Copilot Studio, Azure AI Foundry, OpenAI, Lang Graph, or similar AI agent frameworks.

Preferred Qualifications

· Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.

· Experience in airline, transportation, travel, hospitality, or other large-scale operational technology domains.

· Experience implementing AI-driven testing, autonomous quality gates, intelligent release validation, or Agentic AI solutions.

Equal Opportunity Employer
The University of Missouri System is an Equal Opportunity Employer. Equal Opportunity is and shall be provided for all employees and applicants for employment on the basis of their demonstrated ability and competence without unlawful discrimination on the basis of their race, color, national origin, ancestry, religion, sex, pregnancy, sexual orientation, gender identity, gender expression, age, disability, or protected veteran status, or any other status protected by applicable state or federal law. This policy applies to all employment decisions including, but not limited to, recruiting, hiring, training, promotions, pay practices, benefits, disciplinary actions and terminations. For more information, visit https://www.umsystem.edu/ums/hr/eeo.

All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, religion, sex, pregnancy, sexual orientation, gender identity, gender expression, age, disability, or protected veteran status, or any other status protected by applicable state or federal law.

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

Responsibilities:

• Define and execute the Quality Engineering strategy, automation roadmap, and engineering standards across multiple products and technology stacks.
• Lead design, modernisation, and adoption of scalable automation frameworks covering UI, API, integration, contract, mobile, and end-to-end testing.
• Embed continuous testing, automated quality gates, and release-readiness controls into CI/CD pipelines to improve deployment confidence and reduce late-cycle risk.
• Drive Agentic AI-enabled quality capabilities including autonomous test generation, test maintenance, defect analysis, regression optimisation, and intelligent release validation.
• Establish quality practices for cloud-native, microservices, distributed, and event-driven architectures, with a strong focus on API reliability and integration validation.
• Lead performance engineering, resiliency testing, observability-led quality validation, and production quality feedback loops.
• Partner with Engineering, Architecture, Product, DevOps, and Release teams to shift quality left, reduce escaped defects, and improve engineering productivity.
• Coach QE leads and engineers, build technical capability, and foster a culture of innovation, ownership, and continuous improvement.

Skills:

• Demonstrated experience designing, implementing, and scaling enterprise automation frameworks.
• Strong hands-on understanding of Agile, DevOps, CI/CD, continuous testing, and release quality practices.
• Proven experience supporting enterprise applications with complex integrations, distributed systems, and modern delivery models.
• Expertise in automation and testing tools such as Selenium, Playwright, Rest Assured, ReadyAPI, Postman, AccelQ, BDD frameworks, Groovy scripting, reusable automation libraries, and test data strategies.
• Strong programming skills in Java, including object-oriented design, debugging, root cause analysis, framework design patterns, and reusable engineering components.
• Proficiency in API and integration testing, including REST services, contract testing, service virtualisation, messaging frameworks, backend validation, and enterprise integration testing.
• Experience with cloud and architecture platforms such as AWS services, cloud-native platforms, microservices, distributed systems, containerised environments, and event-driven computing patterns.
• Familiarity with DevOps and observability tools including Azure DevOps, GitHub, Jenkins, Harness, Jira, Datadog, Kibana, Splunk, and application monitoring platforms.
• Practical understanding of AI and agentic quality frameworks, including LLMs, AI agents, RAG, MCP, AI orchestration patterns, Copilot Studio, Azure AI Foundry, OpenAI, Lang Graph, or similar AI agent frameworks.
• Experience in airline, transportation, travel, hospitality, or other large-scale operational technology domains is preferred.
• Experience implementing AI-driven testing, autonomous quality gates, intelligent release validation, or Agentic AI solutions is preferred.

Education:

• A Bachelor’s degree in Computer Science, Software Engineering, Information Technology, Engineering, or a related field is required.
• A Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field is preferred.