As a Senior Storage Architect at IBM in Chicago, you will lead technical initiatives for high-stakes AI infrastructure projects, collaborating closely with C-level executives to align storage and networking strategies with business goals. Your daily tasks include designing end-to-end data pipelines that integrate IBM Storage Scale (GPFS) with NVIDIA DGX systems, optimizing network fabrics using InfiniBand and RoCE technologies, and conducting performance bake-offs to showcase IBM’s superiority over competitors like VAST Data and Weka. You must possess deep expertise in parallel file systems, low-latency networking, and GPU environments, along with proficiency in Kubernetes and Red Hat OpenShift for orchestrating AI workloads. This role demands extensive experience in enterprise storage and high-performance networking, as well as the ability to present complex technical architectures to executive leadership.
Python
TypeScript
Go
Rust
C++
Synthetic data generation
GPU-backed inference systems
Multi-agent workflows
Orchestration patterns
Complex long-running task systems
MCP
A2A-style communication patterns
Secure execution
Sandboxing
Secrets handling
Auditability
CI/CD