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Software Quality Assurance Manager
World Travel Holdings. Lead, mentor, and develop a blended Quality Engineering team spanning manual, exploratory, regression, API, performance, accessibility, and automated testing .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading Quality Engineering teams, developing scalable automation frameworks, and implementing AI-assisted testing practices. Proficient in modernizing testing processes and integrating quality metrics into CI/CD pipelines to enhance software delivery.
Highest-signal resume keywords
Quality Engineering LeadershipTest Automation Framework DesignCI/CD Pipeline IntegrationAI-Assisted TestingAgile/Scrum Methodologies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Test AutomationQuality EngineeringFramework ArchitectureJavaPythonJavaScriptSQLNoSQLPerformance TestingRegression Testing
Soft Skills
Analytical SkillsCommunication SkillsLeadership Skills
Tools & Technologies
AWSAzureGCPDockerKubernetesJMeterGatlingLocustTestRailZephyr
Industry Keywords
Quality EngineeringSoftware TestingTest AutomationShift-Left Quality PracticesAI-First Quality EngineeringTravel Industry Experience
Tech Stack
Tools & technologiesAWSAzureCloudDockerGoogle Cloud PlatformJavaJavaScriptJMeterKubernetesNoSQLPythonSQL
About the role
Key responsibilities & impact- Lead, mentor, and develop a blended Quality Engineering team spanning manual, exploratory, regression, API, performance, accessibility, and automated testing
- Manage team capacity, priorities, and delivery across active initiatives
- Simplify, standardize, and modernize Quality Engineering processes
- Establish an onboarding process for Quality Engineering team members
- Build partnerships across Product Management, Business Analysis, Engineering, Architecture, DevOps, and Quality Engineering
- Own the design, implementation, and evolution of a scalable automation framework for web, mobile, accessibility, API, integration, performance, and regression testing
- Define framework architecture, technical standards, tool selection criteria, coding patterns, and governance practices
- Assess existing tools, test suites, environments, and processes for modernization, consolidation, and automation opportunities
- Build a roadmap for migrating current testing practices to the future-state automation framework
- Partner with Engineering and Architecture on modernization, cloud readiness, platform resiliency, and technical health
- Develop standards, measurement practices, and team skills for responsible AI adoption in Quality Engineering
- Design and evolve agentic Quality Engineering workflows
- Lead AI-assisted test generation, execution, maintenance, optimization, coverage analysis, and quality insights
- Establish and communicate an AI-first Quality Engineering vision
- Improve requirement quality, acceptance criteria, maturity, testability, and shared understanding of business risk before development
- Advance shift-left quality practices in discovery, refinement, solution design, and delivery planning
- Define risk-based quality strategies across Product Management, Business Analysis, Engineering, Architecture, and DevOps
- Embed automated test execution, quality gates, environment readiness checks, and reporting into CI/CD pipelines
- Ensure coverage across functional, regression, performance, load, accessibility, API, and integration testing
- Drive automation-first practices while preserving exploratory, risk-based, and customer-focused testing
- Connect Quality Engineering reporting to customer experience, franchise experience, agent productivity, release confidence, and platform stability
- Identify quality improvements that increase development throughput and support faster release cycles
- Improve early quality visibility and reduce developer feedback cycles
- Establish quality metrics and framework health reporting
- Develop insights on requirement readiness, acceptance criteria maturity, automation effectiveness, release confidence, platform resiliency, and technical health
- Evaluate emerging Quality Engineering and AI technologies
- Manage resource allocation, planning, and delivery of automation framework and test modernization initiatives
- Advocate for modern, AI-first Quality Engineering practices and guide responsible adoption
- Use quality, productivity, and technical-health insights to identify improvements, communicate progress, and guide investment decisions
- Define transformation measures including manual testing effort, automation adoption, AI testing adoption, engineering throughput, defect escape trends, release cycle speed, and deployment confidence
Requirements
What you’ll need- Bachelor’s or master’s degree in computer science, engineering, related field, or equivalent practical experience
- 7+ years of experience in Quality Engineering, software testing, or test automation, including 2+ years in a leadership or management role
- Deep hands-on experience designing, implementing, maintaining, and scaling test automation frameworks
- Experience with framework architecture, reusable components, coding standards, governance practices, and AI-assisted Quality Engineering capabilities
- Proficiency in Java, Python, JavaScript, or a similar programming language
- Experience integrating automated tests, quality gates, framework health checks, and reporting into CI/CD pipelines
- Experience modernizing legacy Quality Engineering tools and consolidating fragmented testing approaches
- Experience advancing shift-left quality practices through early collaboration on requirements, acceptance criteria, solution design, testability, and delivery risk
- Strong understanding of Agile/Scrum delivery and the software testing lifecycle
- Strong analytical, communication, and leadership skills
- Experience evaluating or implementing AI-assisted software engineering or Quality Engineering capabilities preferred
- Experience with AWS, Azure, or GCP and Docker or Kubernetes a plus
- Experience with JMeter, Gatling, or Locust; security testing practices; TestRail or Zephyr; API mocking; service-level API testing; SQL queries; and SQL and NoSQL database testing preferred
- Travel industry experience ideal
Benefits
Comp & perks- Comprehensive medical, dental, and vision coverage
- Company-paid life and disability insurance
- 401(k) with discretionary company match
- Paid time off and holidays
- Travel discounts and employee perks
- Employee Assistance Program (EAP)
- Professional development and learning opportunities