Teams at WEKA

Operate and optimize WEKA data platform deployments for AI hyperscaler customers. Responsibilities include monitoring, upgrades, capacity management, tenant onboarding, storage and networking configuration, Kubernetes and GPU infrastructure support, performance benchmarking, incident escalation, runbook development, and automation using Python, Bash, and Ansible. The role requires strong Linux, storage, networking, cloud, and customer-facing infrastructure administration experience.

Owns end-to-end post-sales technical support for federal and special-program customers in secure, classified, and air-gapped environments. Diagnoses issues across Linux, compute, GPUs, networking, storage, cloud, and applications; collects and sanitizes diagnostics; manages escalations; maintains hardened deployments; supports hardware replacement; writes knowledge-base content; and provides customer and pre-sales support. The role includes on-call rotations, secure-facility work, and regional and domestic travel.

Own complex customer escalations across applications, GPUs, compute, networking, storage, cloud, and the WEKA Data Platform. Diagnose root causes, develop permanent fixes, provide engineering-ready defect reports, author technical advisories and knowledge-base content, improve tooling and support processes, mentor engineers, deliver training, and participate in 24/7 on-call coverage. Serve as the subject matter expert for NVIDIA Cloud Partner and DGX Cloud environments, collaborating with NVIDIA and customer engineering teams.