Systems Engineer - Infrastructure

at  Data Direct Networks

Overview:
DDN Storage is seeking great candidates to join our dynamic team of passionate customer-enabling technologists!
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 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.

“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 Storage 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.
Job Description:

Key Responsibilities:

• Architect, operate, and debug high-performance compute, network, and storage infrastructure.
• Qualify the readiness of new compute hardware and build health monitoring systems.
• Troubleshoot performance and scalability issues.
• Automate routine operational tasks.
• Debug issues in low-latency communication frameworks.
• Set up monitoring, logging, and alerting systems for comprehensive observability.

Tech Stack:

• Linux
• Kubernetes
• Infiniband and RDMA
• MPI and NCCL

Ideal Candidate Profile:

• Extensive experience in large-scale systems administration and configuration management.
• Strong background in systems engineering with an emphasis on low-level system performance in an HPC environment.
• Proficient in operating and troubleshooting complex software and hardware systems.
• Skilled in debugging across software, hardware, and network boundaries.
• Knowledge and practical experience in designing and deploying systems in cloud or on-premises environments.
• Open to generalists and specialists, including systems programmers or engineers focused on performance, security, or data center operations.

Preferred Qualifications:

• Hands-on experience with high-performance computing infrastructure.
• Proficiency in Kubernetes for container orchestration.
• Expertise in setting up and managing low-latency communication frameworks.
• Strong understanding of modern monitoring and observability practices.

• Architect, operate, and debug high-performance compute, network, and storage infrastructure.
• Qualify the readiness of new compute hardware and build health monitoring systems.
• Troubleshoot performance and scalability issues.
• Automate routine operational tasks.
• Debug issues in low-latency communication frameworks.
• Set up monitoring, logging, and alerting systems for comprehensive observability