DataDirect Networks (DDN) is looking to solve the problem of designing and evolving hybrid infrastructure and developer platforms to support AI workloads and high-performance data storage innovation.
Requirements
12+ years of experience in infrastructure, platform, or DevOps engineering roles
Strong programming ability (e.g., Python, Go) for automation and tooling
Hands-on experience with hybrid infrastructure (cloud + bare metal), including provisioning and orchestration
Deep understanding of infrastructure-as-code (e.g., Terraform, Helm, Kubernetes manifests)
Experience with GPU-accelerated compute or HPC-style infrastructure
Familiarity with platform engineering or developer experience optimization
Exposure to high-velocity release cycles, including deployment windows and incident response
Responsibilities
Lead the technical strategy and architecture of our hybrid infrastructure systems (cloud + bare metal)
Design internal tools and automation that improve scalability, reliability, and cost-effectiveness
Define and promote infrastructure-as-code practices, platform APIs, and shared tooling patterns
Drive system design decisions that support multi-tenant workloads, observability, and auditability
Partner with Dev, DevOps, and QA to resolve infrastructure or deployment blockers during release windows
Guide and mentor DevOps engineers on modern automation techniques and platform standards
Design and evolve robust software build & release pipelines to support hybrid environments, including GPU-based bare-metal systems
Other
Participation in an on-call rotation to provide after-hours support as needed
Availability to support US business hours and occasionally participate in critical release events
Strong communication skills
Ability to work in a remote environment
Bachelor's degree or higher in a relevant field (not explicitly stated but implied)
