[Hiring] WEKA Data Platform Administrator @WEKA

Role Description

As a WEKA Data Platform Administrator, you own the outcome of the WEKA deployment for AI Hyperscaler customers, ensuring the data layer operates seamlessly for their tenants.

• 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).
• Own the operational run state: keep the environment healthy, documented, and recoverable.
• Execute approved changes: 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.

Optimize Infrastructure for NCP End Customers’ Workloads:

• Work directly with the customer’s tenants and their platform teams to understand workload usage.
• 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, kubelet CPU policy, and the WEKA Kubernetes operator and CSI driver.
• Onboard new tenants and clients with a repeatable, verified procedure.
• Establish performance baselines: run benchmarks and tests with tenants, and report changes.
• Find scaling limits before customers do: client counts, process ceilings, NAT, and routing behavior.

Runbooks, Automation, and Continuity:

• Build and maintain customer operating runbooks: procedures, access guidance, validation, rollback, and recovery steps.
• Turn repeated manual work into scripts, automation, or checklists using Python, Bash, and Ansible.
• Prepare handovers and backup briefs before time off or coverage changes.
• Explain procedures and decisions to customer operators to enhance their capabilities.

Escalation and Collaboration:

• Open and update cases with observed conditions, customer impact, work completed, evidence, and requested next steps.
• Keep the extended WEKA team informed of changes, risks, and customer needs.
• Work with cloud providers, network teams, and other third parties to resolve issues.
• Contribute operational results, trends, and risks to weekly status and quarterly reviews.

Qualifications

• 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 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 skills.
• Strong technical writing skills for effective runbooks.

Requirements

• 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.

Benefits

• Routine work is completed predictably, documented, and verified after execution.
• A qualified backup can operate the environment from your runbook.
• Customer’s tenants get onboarded faster, with fewer surprises, and hit their performance targets.
• Client-layer problems are found in verification, not in production.
• Risks and access gaps are raised early with a recommended path forward.
• Repeated work gets safer through checklists, scripts, and automation.

Company Description

WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKA sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere.

WEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory, having raised $375M in capital with dozens of world-class venture capital and strategic investors.

We help the world’s largest and most innovative enterprises and research organizations achieve discoveries, insights, and business outcomes faster and more sustainably.