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Designated Services Engineer - NCP (Remote US)

10 hours, 22 minutes ago
United States
Lead
Technical Account Manager
DevOps and Infrastructure
Ansible AWS Azure Bash Confluence GCP Grafana JIRA Kubernetes Linux Prometheus Python Terraform
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WEKA

WEKA

WEKA provides a cutting-edge data platform for cloud and on-premises data management, offering WekaFS for high-performance storage solutions in data-intensive environments.

IT Services
201-500
Founded 2014
$294M raised
View All Jobs 24

Description

  • Maintain a current view of the customer’s WEKA clusters, client fleet, networks, Kubernetes deployments, tenant workloads, and configuration changes.
  • Proactively monitor environment health using WEKA Home, autosupport, observability tools, and remote monitoring to identify and mitigate risks.
  • Own technical issues through root-cause resolution, coordinate escalations with Engineering, GRE, and R&D, and deliver timely RCAs.
  • Advise on architecture, scaling, tenancy, and deployments, including GPU clients, BlueField-3, SR-IOV, routed networks, mounts, cgroups, and Kubernetes CSI and operator configurations.
  • Tune training, inference, and checkpointing workloads; establish performance baselines and run performance tests.
  • Lead expansions and new deployments within the existing customer engagement.
  • Direct assigned WEKA Data Platform Administrators and handle technical escalations.
  • Create runbooks, knowledge-base articles, postmortems, and automation to improve operational maturity.
  • Lead operating and executive reviews, reporting on health, risks, cases, trends, and recommendations.
  • Plan releases, upgrades, capacity growth, and tenant onboarding while coordinating Sales, Services, Product, and R&D teams.

Requirements

  • 10+ years of experience in customer-facing, deep technical problem-solving roles.
  • Hands-on experience supporting Linux-based enterprise infrastructure at scale, including storage, networking, virtualization, and cloud.
  • Experience providing L3 support and directly supporting enterprise infrastructure customers.
  • Deep knowledge of InfiniBand, Ethernet, RDMA, DPDK, and UCX.
  • Strong Kubernetes and containerization experience, including persistent storage, CSI, and operators.
  • Experience with GPU, HPC, or AI/ML infrastructure, including performance benchmarking and bottleneck diagnosis.
  • Proficiency with AWS, Azure, Oracle Cloud, or Google Cloud.
  • Proficiency in Python, Bash, or Ansible for monitoring, diagnostics, and repeatable tasks.
  • Experience with observability tools such as Prometheus and Grafana.
  • Ability to lead customer reviews, plan upgrades, manage multiple workstreams, and communicate effectively with technical and executive audiences.
  • Willingness to travel to customer sites as needed.
  • Experience at a cloud provider, GPU cloud, or HPC company; with WEKA or another distributed file system; or with NVIDIA DGX-class systems, Slurm, multi-tenant AI platforms, Terraform, Jira, Confluence, or Slack (preferred).

Interested in this position?

Apply directly on the company website

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