WEKA Data Platform Administrator

🕒 October 22

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 10%

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WEKA

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

🤝 B2B

💰 $140M Series E - WEKA on 2024-05

Artificial Intelligence • Enterprise • B2B

WEKA is an enterprise-focused company that provides an "AI-Native Data Platform." The available materials reference a WEKA support portal used for customer access and account management, indicating the company offers platform software and support for AI/data workloads aimed at business customers.

📋 Description

• Run the WEKA environment day to day, including monitoring, health, upgrades, capacity, configuration, and audits • Create and manage file systems, object-storage tiering, snapshots, quotas, and POSIX, NFS, SMB, and S3 protocol configuration • Maintain a healthy, documented, and recoverable operational run state • Execute approved changes with scope confirmation, risk classification, validation, rollback, and outcome recording • Monitor drift, capacity pressure, and anomalies and recommend corrective paths • Work with tenants and platform teams to understand storage use for training, inference, checkpointing, data loading, and scheduling • Tune filesystem layout, tiering, snapshot policy, quotas, and per-tenant QoS • Validate GPU node clients, BlueField-3 and SR-IOV networking, mount options, cgroups, kubelet CPU policy, WEKA Kubernetes operator, and CSI driver • Onboard tenants and clients through repeatable, verified procedures • Establish performance baselines and run benchmarks and tests • Identify scaling limits involving client counts, process ceilings, NAT, and tenant-network routing • Build and maintain customer operating runbooks covering procedures, access, validation, rollback, and recovery • Automate repetitive work with Python, Bash, and Ansible • Prepare handovers and backup briefs • Explain procedures and decisions to customer operators • Open and update escalation cases with conditions, impact, evidence, completed work, and requested next steps • Coordinate with Technical Services, GRE, R&D, cloud providers, network teams, and third parties • Contribute operational results, trends, and risks to weekly status and quarterly reviews

🎯 Requirements

• 10+ years administering enterprise infrastructure at scale, with strong storage experience (file, object, or block) • Deep Linux administration skills, including RHEL-family and Ubuntu, in distributed environments • Hands-on experience with high-speed networking: Ethernet and InfiniBand, RDMA, DNS, ACLs, and TCP/IP fundamentals • Working knowledge of Kubernetes and containers, including persistent storage, CSI, and operators • Experience operating GPU, HPC, or large cloud infrastructure for external customers or multiple tenants • Experience with at least one major cloud: AWS, Azure, Google Cloud, or Oracle Cloud • Proficiency in Python, Bash, or Ansible • Experience with monitoring and alerting stacks, including Prometheus, Grafana, and log and metrics tooling • Experience with ticketing systems such as Jira and major incident management • Clear written and verbal communication • Strong technical writing • Prior experience with WEKA or another parallel or distributed file system is nice to have • Experience running Slurm or Kubernetes-based AI/ML platforms is nice to have • Experience with NVIDIA GPU cluster networking and DGX-class systems is nice to have • Experience collaborating between support and product or engineering teams is nice to have • Familiarity with Confluence, Slack, and other collaboration tools is nice to have

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