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Engineering Manager- Server, Pro​/Go, Cloud

Job in Sunnyvale, Santa Clara County, California, 94087, USA
Listing for: Socket.dev
Full Time position
Listed on 2026-08-03
Job specializations:
  • Quality Assurance - QA/QC
    IT QA Tester / Automation
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

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 QA Manager 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 Engineering (Quality Assurance) Manager, you will lead the quality
strategy, validation architecture, and release readiness for mission-critical
server and File Maker 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 experience leading technical quality assurance teams supporting enterprise-scale or client-facing systems.
  • Experience validating scalable architectures across Server, Client, Web Direct, 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
  • 8+ years of leadership experience managing technical quality assurance or platform validation teams.
  • Experience with the File Maker platform, including Server, Pro, Web Direct, 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 manage multiple concurrent projects with competing priorities and navigate cross-functional stakeholder relationships.
  • Ability to coach and develop team members while fostering an inclusive environment that encourages diverse perspectives and collaboration.
  • Design autonomous frameworks using self-healing scripts and AI-First Automation tools to drastically reduce manual maintenance and speed up delivery.
  • Build specialized evaluation harnesses to measure hallucination rates, and the reliability of output.
  • Leverage AI-powered tools to rapidly generate comprehensive test suites and edge cases directly from code and user stories.
  • Establish rigorous testing standards for bias detection, safety, and regulatory compliance to ensure ethical AI deployments across the enterprise.
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