Weka
Technical Services Engineer - Federal
U.S. Remote +1 · Remote · Full-time · Posted Oct 19, 2026
- Location
- U.S. Remote
United States - Experience
- 10+ years in customer-facing technical support, sustaining engineering, or systems engineering for Linux-based enterprise infrastructure.
- Education
- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
About the job
Owns end-to-end post-sales technical support for federal customers using WEKA NeuralMesh, diagnosing complex infrastructure issues in secure and often air-gapped environments.
What you'll do
- Triage, troubleshoot, communicate about, and close customer cases across the full solution stack; diagnose on site when remote access is unavailable.
- Collect and sanitize diagnostics under customer security rules, then escalate evidence and root-cause hypotheses to engineering while retaining customer ownership.
- Install and maintain WEKA in hardened environments, manage hardware replacement under federal media rules, and support federal pre-sales teams.
What they ask for
- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
- 10+ years in customer-facing technical support, sustaining engineering, or systems engineering for Linux-based enterprise infrastructure.
- US citizenship, active TS/SCI clearance, and a current DoD 8140 qualifying certification: Security+ CE, CISSP Associate, or CISSP.
- Strong Linux expertise; experience with distributed storage or parallel file systems; and proven complex-issue resolution in distributed systems.
Nice to have
- Experience with GPU and AI workloads, GPUDirect Storage, and NVIDIA DGX or SuperPOD environments.
- Experience with government cloud, Kubernetes, containerization, virtualization, or the listed protocols and automation tools.
Tools
WEKA NeuralMesh, RHEL, Ubuntu, SELinux, DISA STIG, FIPS 140-3, RMF, RDMA
AI focus
Supports GPU and AI workloads by diagnosing the infrastructure stack that powers performance-intensive workloads, including generative AI and machine learning.
Model-written summary · the original posting is authoritative