Director Quality Assurance

LT ZERO Asia Pacific•Town of Berlin, NY

20h

About The Position

Quantum Corp. leads the world in helping users collaboratively solve some of the world's hardest computer challenges. Whether its wrangling Petabytes of data for cutting edge movie production, managing global content production workflows, exploring new sources of energy, or managing oceans of content and blending collaborative high-speed workflows with cutting-edge object storage, Quantum has the tools and technology to help you engineer the solution that works now - and preserves your work for decades to come. We are seeking a Director of Quality Assurance with deep expertise in global workforce management and enterprise storage validation. In this role, you will develop and implement the overall quality assurance strategy to ensure our storage products and services meet the highest standards of reliability and performance. You will lead a multi-disciplinary, global team, providing technical mentorship to QA managers while collaborating cross-functionally with development and product management to integrate quality into every stage of the product lifecycle. You will be responsible for aligning QA goals with business objectives and driving innovation in testing methodologies.

Requirements

15+ years of experience in quality engineering, including 8+ years leading QA teams in a high-tech engineering environment.
Experience managing QA and development engineers, and their careers in a dynamic and growing organization.
Demonstrated leadership in quality process transformation and automation maturity.
Experience testing enterprise storage systems and distributed backend services, with an emphasis on performance, scalability and reliability.
Familiarity with complex infrastructure platforms like NAS, iSCSI, or Fibre Channel and distributed file systems.
Familiarity or experience testing Tape Library systems.
Strong hands-on experience with Linux operating systems, including installs, upgrades, and configuration management.
Proficiency with industry-standard collaboration and version control tools, including JIRA and GIT.
Strong communication skills with the ability to influence cross-functional stakeholders.
Deep experience with automation development using Python, Bash, and Git-based CI/CD environments.

Nice To Haves

Experience with containers and Kubernetes orchestration.
Familiarity with observability stacks (e.g., OpenTelemetry, Grafana, Prometheus) and system profiling tools.
Experience and a go-fast attitude with AI driven QA initiatives.
Ability to lead Agile project management throughout the organization.
In-depth knowledge of Linux I/O subsystems and high-performance networking.
Experience with testing tools for frameworks such as Robot Framework, Selenium, Pytest, Postman, JMeter, and containerized test environments with Docker, Jenkins, and OpenShift.

Responsibilities

Develop and enforce comprehensive QA processes, standards, and methodologies across the organization.
Align QA initiatives with overall business goals, ensuring quality metrics drive product readiness and customer satisfaction.
Drive cross-team alignment to integrate quality assurance into the Agile product development lifecycle.
Oversee the implementation of advanced testing strategies, prioritizing high-coverage automated testing over manual processes.
Architect and evolve end-to-end test frameworks for performance, correctness, data integrity, and security compliance.
Advocate for contract-first and test-first mentalities, ensuring robust validation of backend APIs and storage services.
Own the technical direction for comprehensive regression testing to ensure stability across complex storage upgrades and maintenance cycles.
Lead Performance and Scalability initiatives to validate system behavior under high-density workloads, including IO latency and throughput metrics.
Ensure products maintain stability when visualizing or managing large-scale, real-time storage data involving thousands of nodes and volumes.
Investigate and resolve critical issues in existing products and new releases, utilizing deep knowledge of Linux I/O subsystems and networking.
Review architectural designs for testability, specifically focusing on storage protocols, clustering, and distributed systems.
Promote the use of AI tools or programming to optimize testing efficiency and predictive bug detection.
Provide leadership and career development support to a global team of QA managers and engineers.
Foster a collaborative environment for remote and distributed teams, emphasizing effective communication across technical and non-technical audiences.