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

Description

  • Operate WEKA deployments, including monitoring, health management, upgrades, capacity planning, configuration, and audits.
  • Create and manage file systems, object-storage tiering, snapshots, quotas, and POSIX, NFS, SMB, and S3 protocol configurations.
  • Execute approved operational changes with risk assessment, validation, rollback plans, and documented outcomes.
  • Tune filesystem layouts, tiering, snapshots, quotas, and per-tenant QoS for AI training, inference, checkpointing, and data-loading workloads.
  • Validate GPU client configurations, including BlueField-3, SR-IOV networking, mount options, cgroups, kubelet CPU policies, and the WEKA Kubernetes operator and CSI driver.
  • Onboard tenants and clients using repeatable, verified procedures and establish performance baselines through testing and benchmarking.
  • Identify capacity, scaling, network, and configuration risks before they affect customers.
  • Build and maintain runbooks, recovery procedures, handover materials, scripts, automation, and checklists.
  • Manage escalations with Technical Services, GRE, and R&D, documenting customer impact, evidence, completed work, and next steps.
  • Collaborate with customer operators, cloud providers, network teams, and third parties; report operational trends and risks in status and quarterly reviews.

Requirements

  • 10+ years of experience administering enterprise infrastructure at scale, including file, object, or block storage.
  • Deep Linux administration experience with RHEL-family and Ubuntu systems in distributed environments.
  • Hands-on experience with Ethernet, InfiniBand, RDMA, DNS, ACLs, and TCP/IP.
  • Working knowledge of Kubernetes and containers, including persistent storage, CSI, and operators.
  • Experience operating GPU, HPC, or large-scale cloud infrastructure for external customers or multiple tenants.
  • Experience with AWS, Azure, Google Cloud, or Oracle Cloud.
  • Proficiency with Python, Bash, and/or Ansible for automation.
  • Experience with monitoring and alerting tools such as Prometheus, Grafana, and log and metrics platforms.
  • Experience with ticketing systems such as Jira and major incident-management practices.
  • Strong written, verbal, and technical documentation skills.
  • Experience with WEKA or another parallel/distributed file system (preferred).
  • Experience with Slurm or Kubernetes-based AI/ML platforms, NVIDIA GPU networking, or DGX-class systems (preferred).

Interested in this position?

Apply directly on the company website

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