Director, Global Quality Assurance

FORTNAAtlanta, GA
Hybrid

About The Position

FORTNA partners with the world’s leading brands to transform omnichannel and parcel distribution operations. Known world-wide for enabling companies to keep pace with digital disruption and growth objectives, we design and deliver solutions, powered by intelligent software, to optimize fast, accurate and cost-effective order fulfillment and last mile delivery. Our people, innovative approach and proprietary algorithms and tools ensure optimal operations design and material and information flow. We deliver exceptional value every day to our customers with comprehensive services and products including network strategy, distribution center operational design and implementation, material handling automated equipment, robotics and a comprehensive suite of lifecycle services. At FORTNA, we believe in fostering a workplace that isn't just a job but a movement – a collective effort to redefine success and transform challenges into opportunities. "Join the Movement" encapsulates our commitment to a workplace culture that thrives on collaboration, celebrates diversity, and empowers every individual to contribute to something greater than themselves. Our Team. Our Passion. Our Approach. Position Overview The Director of Global Quality Assurance is responsible for defining and executing the enterprise QA strategy across a distributed engineering organization spanning North America, Europe, and Vietnam. This role leads both manual and automated testing functions, drives quality engineering transformation, and integrates modern AI-assisted testing approaches to improve coverage, efficiency, and release confidence. The ideal candidate combines deep technical expertise in test automation frameworks with proven leadership experience managing large, globally distributed QA teams. Experience in warehouse execution systems (WES), warehouse control systems (WCS), or industrial automation environments is highly desirable.

Requirements

  • 10+ years of experience in QA/QE, with at least 5+ years in a leadership role.
  • Proven experience managing globally distributed QA teams, including offshore models (Vietnam strongly preferred).
  • Strong background in both manual testing and test automation.
  • Hands-on experience with automation frameworks (e.g., Playwright, Selenium).
  • Experience with performance testing tools such as JMeter.
  • Deep understanding of CI/CD pipelines and DevOps practices.

Nice To Haves

  • Experience with WES, WCS, supply chain, or industrial automation systems.
  • Familiarity with containerized environments (Kubernetes, OpenShift).
  • Experience with AI-driven testing tools and strategies.
  • Background in messaging systems (e.g., Kafka, AMQ, NATS) and distributed architectures.
  • Experience with cloud platforms (AWS, Azure).
  • Strong executive presence with the ability to influence cross-functional stakeholders.
  • Experience building and mentoring high-performing global teams.
  • Excellent communication skills across technical and non-technical audiences.
  • Data-driven decision-making mindset with a focus on continuous improvement.

Responsibilities

  • Define and implement a global QA strategy covering functional, integration, performance, and regression testing.
  • Lead and scale distributed QA teams across the US, Europe, and Vietnam.
  • Establish standardized QA processes, governance models, and KPIs across all regions.
  • Drive a shift from traditional QA to Quality Engineering (QE), embedding quality earlier in the SDLC.
  • Own the automation strategy, including framework selection, implementation, and scalability.
  • Oversee development and maintenance of automation frameworks using tools such as Playwright, Selenium, and API testing frameworks.
  • Lead performance and load testing initiatives using tools such as JMeter.
  • Ensure CI/CD integration of automated test suites (e.g., GitHub Actions, Jenkins, ArgoCD pipelines).
  • Identify and implement AI/ML-driven testing solutions (e.g., test case generation, self-healing tests, defect prediction).
  • Leverage AI tools to improve test coverage, reduce manual effort, and accelerate release cycles.
  • Evaluate emerging AI QA platforms and integrate them into the testing ecosystem where appropriate.
  • Partner with Engineering, DevOps, Product, and Architecture teams to align quality objectives with business goals.
  • Integrate QA processes into modern DevOps pipelines and Kubernetes/OpenShift-based environments.
  • Drive shift-left and shift-right testing practices, including observability and production validation.
  • Support quality initiatives for WES (Warehouse Execution Systems) and WCS (Warehouse Control Systems) platforms.
  • Ensure validation of complex workflows involving automation systems (e.g., robotics, conveyors, AutoStore, Geek+).
  • Oversee integration testing across hardware/software boundaries.
  • Define and track QA metrics (defect leakage, automation coverage, test cycle time, MTTR).
  • Implement risk-based testing approaches and quality gates for releases.
  • Manage vendor relationships and external QA partners where applicable.
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