Weka
Designated Services Engineer - NCP (Remote US)
U.S. Remote +1 · Remote · Full-time · Posted Sep 30, 2026
- Location
- U.S. Remote
United States - Experience
- 10+ years in customer-facing, deep technical problem-solving roles.
About the job
Serves as the primary technical owner for an AI hyperscaler account, operating and improving its WEKA environment while coordinating escalations, reviews, upgrades, and growth planning.
What you'll do
- Monitor and troubleshoot customer infrastructure, lead issues through root cause and resolution, and provide clear RCAs.
- Recommend and validate architectures, deployments, client configurations, and performance tuning for AI workloads.
- Lead customer reviews, upgrade and capacity planning, account reporting, and coordination across WEKA teams.
What they ask for
- 10+ years in customer-facing, deep technical problem-solving roles.
- Hands-on experience supporting Linux-based enterprise infrastructure at scale and experience in L3 support with direct enterprise customer interaction.
- Deep understanding of networking and strong fluency in Kubernetes and containerization, including persistent storage, CSI, and operators.
- Experience with GPU, HPC, or AI/ML infrastructure; proficiency in at least one major cloud; and proficiency in Python, Bash, or Ansible.
Nice to have
- Prior experience at a cloud provider, GPU cloud, or HPC company; experience with WEKA or another parallel or distributed file system.
- Experience with NVIDIA DGX-class systems, Slurm, or multi-tenant AI platforms; infrastructure as code or configuration management; or Jira, Confluence, and Slack.
Tools
Linux, InfiniBand, Ethernet, RDMA, DPDK, UCX, Kubernetes, Python
AI focus
Supports AI hyperscaler infrastructure and tunes performance for training, inference, and checkpointing workloads.
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