DevOps Engineer - DDN Labs

Dev Ops Engineer - DDN Labs

Job Location s: US-CO-Colorado Springs

Job :

Posting

Location:

CO

Worker Type:
Regular Full-Time Employee

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. Data Direct 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  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 seeking a hands‑on, self‑motivated Dev Ops Engineer to support and manage our dedicated benchmarking and ISV lab environments. This role will oversee physical and virtual infrastructure, including Linux systems, containers, virtual machines, networks, and storage, with occasional travel to Colorado Spring Office for onsite system access and maintenance.

You will be a key enabler for high-performance benchmarking, AI workloads, and ISV testing, working closely with engineers and partners to ensure reliable and secure access to lab environments.

• Maintain and manage a fleet of Linux-based servers
  , including provisioning, monitoring, and patching
• Deploy and manage virtual machines (VMs) and containers (Docker/K8s), supporting diverse benchmarking workloads
• Configure and maintain network infrastructure
  , including IP address management, routing, VLANs, and firewall rules
• Set up, maintain, and optimize storage systems
  , including object, block, and NFS
• Coordinate and manage secure user access to lab systems and software environments
• Collaborate with internal teams to support ISV testing
  , performance benchmarks, and development efforts
• Own lab health, including hardware lifecycle
  , physical troubleshooting, and environmental monitoring
• Travel to Colorado lab site as needed for hardware installation, maintenance, and validation
• Document procedures, topologies, and system configurations
• Support Dev Ops tooling and automation efforts using CI/CD pipelines where applicable

• 3+ years of hands‑on experience with:
• Linux system administration
• Networking (routing, subnets, firewalls, VLANs)
• Virtualization (KVM, VMware, or similar)
• Containers (Docker, Podman, Kubernetes)
• Hardware troubleshooting (x86 servers, switches, cabling)
• Strong experience with shell scripting
  , basic automation, and infrastructure management tools
• Ability to work independently
  , troubleshoot complex systems, and manage multiple priorities
• Hands‑on with storage constructs (RAID, NFS, LUNs, object stores)
• Willingness and ability to travel to Colorado as required
• Excellent documentation and communication skills

• Experience with benchmarking environments or ISV certification labs
• Experience with Dev Ops tooling (Ansible, Terraform, Jenkins, Git Lab CI/CD, etc.)
• Exposure to AI/ML workloads
  , HPC systems, or GPU-based systems
• Hands‑on with storage, or similar storage platforms

Sala…