WEKA Data Platform Administrator (Remote US)

WEKA; United States; On-site; USD 140,000 - 180,000; Full time

Job summary

WEKA is seeking a seasoned Data Platform Administrator to operate and optimize large-scale storage and compute for enterprise customers. The role focuses on day-to-day deployment, monitoring, and upgrades across GPU-enabled workloads, with direct collaboration to tailor the data layer for tenant workloads and performance baselines.

You will onboard new tenants, run benchmarks, automate repetitive tasks with Python/Bash/Ansible, and ensure recoverable runbooks.

Qualifications

• 10+ years administering enterprise infrastructure at scale.
• Deep Linux administration in distributed environments (RHEL/Ubuntu).
• Kubernetes and containers with persistent storage and CSI.
• Experience with GPU, HPC or large cloud infrastructure for external tenants.
• Hands-on with at least one major cloud: AWS, Azure, GCP or OCI.
• Proficiency in Python, Bash, or Ansible; automation mindset.
• Experience with monitoring/alerting stacks (Prometheus, Grafana).
• Strong written and verbal communication; runbooks and docs.
• Familiarity with Jira for incident management.

Responsibilities

• Run the WEKA deployment day-to-day: monitoring, health, upgrades, capacity, config, audits.
• Manage file systems, tiering to object storage, snapshots, quotas, and protocols (POSIX, NFS, SMB, S3).
• Maintain operational run state; keep environment healthy and recoverable.
• Execute changes with approval, risk classification, validation, rollback, and outcomes.
• Watch for drift/capacity issues; propose remediation paths early.
• Onboard tenants and clients with repeatable procedures; validate configs before production.
• Benchmark workloads; report changes and rationale to tenants.
• Scale governance: identify limits and optimize networking and storage paths.

Skills

Enterprise storage

Linux admin

Kubernetes

GPU/HCPC infra

Public cloud (AWS/Azure/GCP/OCI)

Python

Bash

Ansible

Prometheus

Grafana

Jira

Technical writing

Tools

Jira

Prometheus

Grafana

Ansible

Job description

About The Job

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. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.

WEKA Data Platform Administrator

Customer Success - Premium Services

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. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.

What You’ll Be Doing

Our AI Hyperscaler customers sell GPU capacity to other companies. Their tenants run training, inference, and checkpointing on WEKA. Those tenants expect the data layer to just work.

As a WEKA Data Platform Administrator, you own that outcome. You run the WEKA deployment for these cloud companies as an extension of their team, day to day, so they do not have to staff WEKA administration itself. You may work directly with their end customers to tune the infrastructure for the workloads they actually run.

Operate the Deployment

• 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.

Optimize Infrastructure for NCP End Customers’ Workloads

• 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.

Runbooks, Automation, and Continuity

• 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.

Escalation and Collaboration

• 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.

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, 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. You automate what you repeat.
• 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.

It’s Nice If You Have

• 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.

What Success Looks Like

• 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.

The WEKA Way

We are Accountable: We take full ownership, always-even when things don’t go as planned. We lead with integrity, show up with responsibility & ownership, and hold ourselves and each other to the highest standards.

We are Brave: We question the status quo, push boundaries, and take smart risks when needed. We welcome challenges and embrace debates as opportunities for growth, turning courage into fuel for innovation.

We are Collaborative: True collaboration isn’t only about working together. It’s about lifting one another up to succeed collectively. We are team-oriented and communicate with empathy and respect. We challenge each other and conduct positive conflict resolution. We are being transparent about our goals and results. And together, we’re unstoppable.

We are Customer Centric: Our customers are at the heart of everything we do. We actively listen and prioritize the success of our customers, and every decision we make is driven by how we can better serve, support, and empower them to succeed. When our customers win, we win.