WEKA Data Platform Administrator (AI Infrastructure)

Location: Remote in the United States

Company

hirify.global is a pre-IPO, growth-stage company developing NeuralMesh, an AI-native data infrastructure platform that supports cloud and compute-intensive workloads.

What you will do

• Operate hirify.global deployments, including monitoring, health checks, upgrades, capacity, configuration, audits, filesystems, object-storage tiering, snapshots, quotas, and protocol configuration.
• Execute approved changes with scope confirmation, risk classification, validation, rollback planning, and outcome documentation.
• Optimize infrastructure for tenant training, inference, checkpointing, data loading, and scheduling workloads.
• Validate GPU node clients, BlueField-3 and SR-IOV networking, mount options, cgroups, kubelet CPU policy, the hirify.global Kubernetes operator, and CSI driver.
• Build runbooks, handovers, automation, scripts, and checklists using Python, Bash, and Ansible.
• Manage escalations and customer communication with Technical Services, GRE, R&D, cloud providers, network teams, and other third parties.

Requirements

• 10+ years of experience administering enterprise infrastructure at scale, with strong file, object, or block storage experience.
• Deep Linux administration skills with RHEL-family and Ubuntu systems in distributed environments.
• Hands-on experience with Ethernet, InfiniBand, RDMA, 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, with experience automating repeated work.
• Experience with monitoring and alerting stacks such as Prometheus, Grafana, and log or metrics tooling.
• Experience with ticketing systems such as Jira, major incident management, technical writing, and clear communication with engineers and executives.

Nice to have

• Experience with hirify.global 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.

Culture & Benefits

• Accountability, ownership, integrity, and responsibility are core working principles.
• Teams question the status quo, take smart risks, and use constructive debate to improve outcomes.
• Collaboration emphasizes empathy, respect, transparency, and positive conflict resolution.
• Customer success is central to operational decisions and priorities.