Sr. Staff Engineer in Test

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. DDN Storage is a global market leader renowned for powering many of the worlds most demanding AI data centers in industries ranging from life sciences and healthcare to financial services autonomous cars Government academia research and manufacturing

DDNs 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 storage and data management solutions are 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 Storage 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 seeking a Staff Engineer in Test to join our Infinia - Cloud Control Plane to design develop and deliver core components of our software-defined storage platform. This role focuses on building high-quality scalable solutions while collaborating closely with peers across engineering product and program management.

The ideal candidate is a strong hands-on engineer who enjoys solving complex technical problems and contributing to the development of reliable high-performance storage systems.

Key Responsibilities

• Design develop test and maintain software components for scalable storage solutions.

• Contribute to the implementation of distributed systems with a focus on reliability performance and availability.

• Participate in design discussions and provide thoughtful technical input.

• Write high-quality maintainable and well-tested code.

• Conduct code reviews and follow engineering best practices.

• Troubleshoot and resolve complex technical issues across the stack.

• Collaborate with cross-functional teams to support product delivery.

• Work closely with program management to meet release milestones.

• Contribute to technical documentation.

• Provide updates on project progress and deliverables.

• Support continuous improvement of engineering processes and system performance.

• Travel occasionally as needed for team meetings or training.

Qualifications

• BS/MS in Computer Science Computer Engineering Mathematics or related field (or equivalent experience).

• 10 years of software development experience.

• Strong programming skills in C/C particularly in Linux/UNIX environments.

• Experience with distributed systems multithreading and concurrency.

• Solid understanding of file systems and server architectures.

• Proven ability to deliver production-quality software.

• Strong problem-solving and collaboration skills.

Preferred

• Experience with scale-out or high-availability storage systems.

• Familiarity with parallel file systems such as Lustre or GPFS.

• Exposure to NVMe or modern storage technologies.

• Experience debugging system-level issues.

DataDirect Networks Inc. 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.