Senior Infrastructure Engineer (AI Cloud)

Location: Hybrid in the Bay Area, Boston, or Washington D.C.; 2 work-from-home days per week

Company

hirify.global develops software that makes AI data centers power-flexible, helping scale compute while supporting grid reliability and renewable energy growth.

What you will do

• Architect and launch managed cloud services for GPU capacity, including tenant models, isolation boundaries, provisioning flows, and service catalogs.
• Build control-plane services, self-service customer interfaces, lifecycle automation, usage metering, and billing integrations.
• Assess and integrate bare-metal GPU infrastructure providers while designing portability across vendors.
• Implement secure multi-tenancy across compute, storage, and networking, including InfiniBand/VLAN isolation, QoS, encryption, and root-access boundaries.
• Operate Kubernetes and Slurm environments for large-scale training and inference across heterogeneous clouds.
• Define storage, SLO, observability, and incident-response strategies for a reliable customer-facing service.

Requirements

• 7+ years of infrastructure or platform engineering experience, including launching a managed cloud or AI platform used by production customers.
• Strong production experience with Kubernetes and Slurm as managed services.
• Production experience with Lustre or comparable parallel filesystems such as GPFS, Weka, VAST, or BeeGFS.
• Knowledge of cloud control planes, APIs, tenancy and isolation models, quotas, metering, and customer-facing operations.
• Deep Linux expertise, infrastructure as code with Terraform or Ansible, and programming ability in Python or Go.
• Experience with GPU infrastructure, InfiniBand, RoCE, RDMA, and the GPU software stack.

Nice to have

• Experience with NVIDIA SuperPOD, GPUDirect Storage, NCCL debugging, or DCGM.
• Experience with Lustre multitenancy, VAST or Weka service-provider deployments, and object storage such as S3, Ceph, or MinIO.
• Experience negotiating with infrastructure vendors and building billing, metering, or FinOps pipelines.

Culture & Benefits

• Collaborative, low-ego environment with AI, cloud, software, and energy specialists.
• Opportunity to shape strategy, go-to-market, organizational design, and customer engagement from the beginning.
• Competitive pay, equity, medical, dental, and vision coverage.
• 401(k) matching and a flexible hybrid work arrangement.
• Equal opportunity workplace with reasonable accommodations for applicants with disabilities.