[Remote] WEKA Data Platform Administrator (Remote US)

Note: The job is a remote job and is open to candidates in USA. WEKA provides data infrastructure software for AI and compute-intensive workloads. The WEKA Data Platform Administrator operates and optimizes customer deployments, supports tenant onboarding and workload performance, maintains automation and runbooks, and coordinates operational escalations.

Responsibilities

• Run the WEKA environment day to day: monitoring, health, upgrades, capacity, configuration, and audits
• Create and manage file systems, tiering to object storage, snapshots, quotas, and protocol configuration (POSIX, NFS, SMB, S3) as tenants onboard and grow
• Own the operational run state. Keep the environment healthy, documented, and recoverable
• Execute approved changes to a standard: confirm scope and approval, classify risk, validate, keep a rollback, record the outcome
• Watch for drift, capacity pressure, and anomalies. Raise them early with a recommended path
• May involve working directly with the customer’s tenants and their platform teams to understand how each workload uses storage: training, inference, checkpointing, data loading, and scheduling
• Tune WEKA to fit the workload. Filesystem layout, tiering, snapshot policy, quotas, and per-tenant QoS
• Validate and standardize the client layer: GPU node clients, BlueField-3 and SR-IOV networking, mount options, cgroups and kubelet CPU policy, and the WEKA Kubernetes operator and CSI driver
• Onboard new tenants and clients with a repeatable, verified procedure. Check configuration and scripts before they reach production, not during an escalation
• Establish performance baselines. Run benchmarks and tests with tenants, and report what changed and why
• Find scaling limits before customers do: client counts, process ceilings, NAT and routing behavior across tenant networks
• Build and maintain customer operating runbooks that a qualified backup can follow: procedures, access guidance, validation, rollback, and recovery steps
• Turn repeated manual work into scripts, automation, or checklists. Use Python, Bash, and Ansible
• Prepare handovers and backup briefs before time off or coverage changes
• Explain procedures and decisions to customer operators so they get more capable, not more dependent
• Open and update cases with the observed condition, customer impact, work completed, evidence, and requested next step. Follow the established path to Technical Services, GRE, and R&D
• Keep the extended WEKA team informed of changes, risk, and anything the customer needs to hear
• Work with cloud providers, network teams, and other third parties in the customer’s environment to resolve issues
• Contribute operational results, trends, and risks to weekly status and quarterly reviews

Skills

• 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, and the fundamentals of DNS, ACLs, and TCP/IP
• 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 (Prometheus, Grafana, log and metrics tooling)
• Experience with ticketing systems such as Jira, and discipline in major incident management
• Clear written and verbal communication. You can explain a change to an engineer and to an executive
• Strong technical writing. Your runbooks work for someone who has never seen the environment
• Prior experience with WEKA or another parallel or distributed file system
• Experience running Slurm or Kubernetes-based AI/ML platforms
• Experience with NVIDIA GPU cluster networking and DGX-class systems
• Experience collaborating between support and product or engineering teams
• Familiarity with Confluence, Slack, and other collaboration tools

Company Overview

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