Director of Quality Engineering - Infinia

Overview

This is an incredible opportunity to be part of a company that has been at the forefront of AI and high-performance data storage innovation for over two decades. DataDirect Networks (DDN) is a global market leader renowned for powering many of the world's most demanding AI data centers, in industries ranging from life sciences and healthcare to financial services, autonomous cars, Government, academia, research and manufacturing.

  

"DDN's A3I solutions are transforming the landscape of AI infrastructure." – IDC 

  

“The real differentiator is DDN. I never hesitate to recommend DDN. DDN is the de facto name for AI Storage in high performance environments” - Marc Hamilton, VP, Solutions Architecture & Engineering | NVIDIA 

  

DDN is the global leader in AI and multi-cloud data management at scale. Our cutting-edge data intelligence platform is designed to accelerate AI workloads, enabling organizations to extract maximum value from their data. With a proven track record of performance, reliability, and scalability, DDN empowers businesses to tackle the most challenging AI and data-intensive workloads with confidence. 

  

Our success is driven by our unwavering commitment to innovation, customer-centricity, and a team of passionate professionals who bring their expertise and dedication to every project. This is a chance to make a significant impact at a company that is shaping the future of AI and data management. 

  

Our commitment to innovation, customer success, and market leadership makes this an exciting and rewarding role for a driven professional looking to make a lasting impact in the world of AI and data storage. 

Job Description

As the Director of Quality Engineering - Infinia at DDN, you will be responsible for driving the strategy, execution, and continuous improvement of the highest-performing, scalable storage solution for AI and big data. You will oversee critical areas of engineering: Release Quality Engineering, System Quality Engineering, and Quality & Productivity Analytics. You will lead a team focused on delivering high-quality products that exceeds customer expectations by establishing cutting-edge testing tools, processes, and metrics. This role requires strong leadership, technical expertise, and close collaboration with product development, engineering, and customer support teams.

 

Key Responsibilities:

Release Quality Engineering:

• Set the standard for testing practices in the organization and define tools, automation frameworks, and processes to ensure high-quality releases that exceed customer expectations.
• Develop and implement best practices for automated and manual testing across various stages of product development.
• Collaborate with cross-functional teams to define and enforce quality criteria for product releases.
• Continuously improve testing coverage, speed, and accuracy through automation and advanced tools.

System Quality Engineering:

• Define the infrastructure and processes to test releases using customer workflows and environments.
• Work closely with Customer Support and Field teams to gather insights into customer needs and pain points, ensuring these are addressed in testing strategies.
• Build and manage a team of quality engineers dedicated to system testing, ensuring the integration of customer feedback into the automation platform.
• Maintain and enhance the system-level test bed, ensuring it simulates real-world customer environments accurately at scale.

Quality & Productivity Analytics:

• Define and implement key metrics to measure product quality, engineering productivity, and code quality across the organization.
• Develop real-time dashboards that provide visibility into quality metrics and key performance indicators (KPIs) for engineering and product teams.
• Continuously monitor and optimize testing and development processes using data-driven insights to ensure operational excellence.
• Establish feedback loops and reporting mechanisms to track improvements and identify areas for future growth.

Required Qualifications:

• 12+ years of experience in software quality validation within file systems, large storage architectures or HPC distributed systems.
• Strong grasp and experience in SW test design, execution, automation and metrics.
• Strong knowledge in software and scripting in Python, particularly for Linux/UNIX computing environments.
• Strong knowledge in software automation testing architectures and their implementations in CICD pipelines.
• Experiences must include some of the followin