QA Architect

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. 

We are looking for a QA Architect for our SFA engineering team who will architect, define and build the strategy and tests for SFA software storage solution.

Responsibilities for this role include but are not limited to:

• Work with a global team of stakeholders to understand requirements and define the product release and QA strategy, which includes all integration, functional, performance, stress and stability testing of a distributed system.
• Review solution requirements from a quality assessment point of view and participate in feature test scoping coverage.
• Plan and drive high quality products validation plans. Prepare test data, execute tests, and review/evaluate results.
• Drive test scoping of new features with input from development, product management, and test engineering.
• Review identified use cases to ensure all functional and feature test requirements are captured during the design and development phase.
• Define and maintain verification jobs through continuous integration tool.
• Act as technical leader and mentor for the QA team members to lead the implementation of QA automation systems, processes and tests.
• Provide technical guidance in the development of automated testing framework in CI environment.
• Design, lead and implement work associated with automation framework improvements.
• Lead appropriate technical meetings/scrums and message progress/status/concerns.

 Qualifications:

• 15+ 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 and C particularly for Linux/UNIX computing environments.
• Strong knowledge in software automation testing architectures and their implementations in CICD pipelines.
• Proven ability to diagnosis product software issues and effectively communicate the impacts in the appropriate manner.
• Experienced with container based solutions using Kubernetes to orchestrate the deployment, scaling and management of Docker micro services.
• Experiences must include some of the following:  traditional storage protocols (e.g. CIFS/NFS/iSCSI), work with data storage concepts such as RAID, SCSI, FC, and file systems; designing, developing, executing, and maintaining test cases and procedures; applying QA lifecycle methodologies for white box, black box, functional, combinatorial testing.
• Experiences with testing management tools (i.e. JIRA, Zephyr).
• Experiences with GitHub and Agile software development tools and process are a plus.
• Very good written/verbal communication skills in English.
• BS/MS/Ph.D in Computer Science, Computer Engineering, Statistics, Mathematics or equivalent degree/experience.

The ideal candidate has knowledge of and experience in some of the following subjects:

• Knowledge of parallel file system solutions (Lustre, GPFS), NVM storage technology or distributed key-value storage systems
• Knowledge of Object Storage and its usage
• High Performance Computing system installation and management is helpful to perform day-to-day activities for this role
• I/O benchmarking tools and profiling applications with intensive I/O patterns.

Salary Range: $136,192-$214,016

Join our dynamic and driven team, where engineering excellence is at the heart of everything we do. We seek individuals who love to challenge themselves and are fueled by curiosity. Here, you'll have the opportunity to work across various areas of the company, thanks to our flat organizational structure that encourages hands-on involvement and direct contributions to our mission. Leadership is earned by those who take initiative and consistently deliver outstanding results, both in their work ethic and deliverables, making strong prioritization skills essential. Additionally, we value strong communication skills in all our engineers and researchers, as they are crucial for the success of our teams and the company as a whole.

Interview Process: After submitting your application, one of our recruiters will review your resume. If your application passes this stage, you will be invited to a 30-minute interview during which a member of our team will ask some basic questions. If you clear the interview, you will enter the main process, which can consist of up to four interviews in total:

• Coding assessment: Often in a language of your choice.
• Systems design: Translate high-level requirements into a scalable, fault-tolerant service (depending on role).
• Real-time problem-solving: Demonstrate practical skills in a live problem-solving session.
• Meet and greet with the wider team.
• Our goal is to finish the main process in 2-3 weeks at most.

DataDirect Networks (DDN) is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, gender expression, transgender, sex stereotyping, sexual orientation, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.