Software QE Engineering Manager
Apple Sunnyvale, California, United States
Computers and Electronics Manufacturing · 10,001+ employees
About the role
You will lead the quality strategy, validation architecture, and release readiness for mission-critical server and platform technologies. This role involves partnering with cross-functional teams to ensure scalable, resilient, and secure capabilities are delivered while fostering a culture of operational excellence.
What they look for
Requirements
Candidates must have a bachelor's degree in Computer Science or Engineering and over 10 years of experience in software quality assurance or systems testing. At least 5 years of leadership experience managing technical quality teams for enterprise-scale systems is required.
Full description
At Apple, great ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Claris International Inc., an Apple company, is seeking a Manager of Software Quality (QE) to lead a team of quality engineers responsible for validating and ensuring the reliability of mission-critical server and data platform technologies for client-facing solutions.
In this role, you will combine deep expertise in quality engineering, platform validation, automation strategy, and release readiness with strong execution leadership. You will ensure complex platform initiatives are delivered on time, meet production-grade quality standards, and provide exceptional customer reliability and operational resilience. You will partner closely with engineering, cloud, infrastructure, and product teams to translate technical requirements into scalable validation strategies while fostering a culture of accountability, operational excellence, and continuous improvement.
Description
As an Software Quality Engineering (QE) Manager, you will lead the quality strategy, validation architecture, and release readiness for mission-critical server and FileMaker platform technologies. You will own the end-to-end quality lifecycle, partnering with cross-functional teams to ensure scalable, resilient, and secure capabilities are delivered. Your leadership will drive technical quality direction, enabling reliable data services and world-class customer experiences across the ecosystem.
Minimum Qualifications
Bachelor’s degree in Computer Science, Engineering, or equivalent experience. 10+ years of experience in software quality assurance, platform validation, or systems testing. 5+ years of leadership experience managing technical quality assurance (QA), quality engineering (QE) or platform validation teams supporting enterprise-scale or client-facing systems. Experience validating scalable architectures across Server, Client, WebDirect, APIs, and cloud or on-premises deployments. Experience delivering releases on schedule while maintaining quality standards. Experience with test planning, automation strategies, regression management, and release readiness processes. Experience with performance, scalability, failover, backup, recovery, and resiliency testing. Experience preparing and presenting technical quality risks and release status reports to cross-functional stakeholders.
Preferred Qualifications
Experience with the Claris FileMaker platform, including Server, Pro, WebDirect, and Data API. Knowledge of modern cloud platforms such as AWS, Azure, or Google Cloud, including hybrid deployment models. Knowledge of security validation, compliance standards, and enterprise operational requirements such as SOC 2, GDPR, or HIPAA. Experience transitioning teams from traditional QA to AI-driven workflows and validating complex, multi-step AI reasoning systems. Ability to coach and develop team members while fostering an inclusive environment that encourages diverse perspectives and collaboration. Expertise leading design of autonomous frameworks using self-healing scripts and AI-First Automation tools to drastically reduce manual maintenance and speed up delivery. Experience directing adoption of AI-powered automation frameworks (e.g., self-healing test scripts, AI-generated test suites) to reduce manual maintenance and accelerate release velocity across the team. Expertise with AI-powered tools to rapidly generate comprehensive test suites and edge cases directly from code and user stories. Experience establishing organizational rigorous testing standards for bias detection, safety, and regulatory compliance to ensure ethical AI deployments across the enterprise.
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