webAI

Staff Platform Engineer

webAI
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18 days ago

Responsibilities

  • Own deployment of the webAI kernel and B2B SDK across single-machine, multi-node, cloud, bare-metal, and on-premises environments.
  • Select and evolve orchestration and configuration-management approaches using Nomad, Kubernetes, Ansible, launchd, or comparable tools.
  • Operate Apple-silicon production fleets, including services, firewalling, virtual machines, capacity planning, and hardware recovery.
  • Build an OpenAI-compatible model gateway with conversation-pinned load balancing, model and persona routing, and performance testing.
  • Own software supply-chain security, container and model artifacts, signing, mirrored registries, dependency pinning, and releases.
  • Implement secrets management, PKI, mTLS, enterprise identity integration, and on-premises network policies.
  • Build metrics, logging, alerting, audit export, high-availability definitions, SLOs, runbooks, and incident-response processes.
  • Collaborate on networking and kernel deployment, mentor engineers, and improve infrastructure-as-code, testing, and operations practices.

Requirements

  • 8+ years building and operating production infrastructure, including some bare-metal or on-premises experience.
  • Deep experience with Nomad or Kubernetes and the judgment to determine when orchestration is unnecessary.
  • Strong Terraform and Ansible or comparable configuration-management experience across staging and production.
  • Production experience with AWS, Azure, or both, including identity/IAM, KMS, container registries, and managed Kubernetes.
  • Solid networking experience with VPN overlays, firewalls, NAT, load balancers, L4/L7 proxies, DNS, and TLS.
  • Experience with Vault or equivalent secrets systems, PKI/mTLS, OIDC, GitLab CI/CD, artifact signing, reproducible builds, and observability.
  • Proficiency in Rust or Go plus Python or Bash scripting.
  • Strong technical writing skills for runbooks, design documents, and RCAs.
  • Preferred qualifications include large-scale macOS fleet administration, local LLM inference, air-gapped delivery, QUIC or peer-to-peer networking, Kubernetes operators/controllers, Nomad tooling, and customer-site deployment experience.

Benefits

  • Competitive salary and performance-based incentives.
  • Comprehensive health, dental, and vision benefits, including a high-deductible HSA option with company contribution.
  • 401(k) match for U.S.-based employees.
  • Flexible PTO and parental leave for eligible employees.
  • Continuing education support.
  • Company-paid basic life insurance, supplemental life insurance, and short- and long-term disability coverage.
  • Free parking for in-office employees; benefits may vary for employees outside the United States.

Tech Stack

AmbassadorAnsibleAWSAzureBashDockerGitLab CI/CDGoGrafanaKubernetesLinuxPrometheusPythonRustTerraformVault

Categories

webAI

About webAI

51-200 employees

webAI builds an end-to-end platform for training, deploying, and operating private AI models on infrastructure customers control, including edge devices. It sells enterprise software and developer SDKs/APIs used by public-sector, defense, aviation, and manufacturing teams to run specialized models with data sovereignty. Founded in 2020 and headquartered in Austin, Texas, the privately held company focuses on distributed AI/LLM infrastructure across local and cloud environments.

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