WEKA Data Platform Administrator

WEKA

. Run the WEKA environment day to day, including monitoring, health, upgrades, capacity, configuration, and audits .

Posted 10/22/2026full-timeRemote • United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in administering enterprise infrastructure at scale, with a strong focus on storage management, Linux administration, and high-speed networking. Proficient in automation and monitoring tools, with a solid understanding of Kubernetes and cloud environments.

Highest-signal resume keywords

Enterprise Infrastructure AdministrationLinux Administration (RHEL, Ubuntu)High-Speed Networking (Ethernet, InfiniBand)Kubernetes and Container ManagementPython, Bash, or Ansible Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Storage Management (File, Object, Block)Monitoring and Alerting Stacks (Prometheus, Grafana)GPU and HPC Infrastructure ManagementCloud Experience (AWS, Azure, Google Cloud, Oracle Cloud)Ticketing Systems (Jira)WEKA or Distributed File SystemsSlurm or Kubernetes-Based AI/ML PlatformsNVIDIA GPU Cluster NetworkingConfiguration ManagementCapacity Planning

Soft Skills

Clear Written and Verbal CommunicationStrong Technical WritingCollaboration with Support and Engineering Teams

Tools & Technologies

WEKA EnvironmentKubernetes OperatorCSI DriverConfluenceSlack

Industry Keywords

Distributed EnvironmentsOperational Run StatePerformance BaselinesClient OnboardingNetwork Routing

Tech Stack

Tools & technologies

AnsibleAWSAzureCloudDNSGrafanaKubernetesLinuxNFSNode.jsOraclePrometheusPythonTCP/IP

About the role

Key responsibilities & impact

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

What you’ll need

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