Teams at webAI

Own and evolve deployment infrastructure for private AI across Apple-silicon fleets, bare metal, on-premises environments, and AWS or Azure. Responsibilities include orchestration, infrastructure as code, inference serving, software supply chain security, identity, networking, observability, reliability, incident response, runbooks, and customer deployments. The role requires hands-on architecture and coding, on-call ownership, technical leadership, and mentoring.

Own day-to-day People Operations during a leave coverage period, supporting employees and managers with HR policies, employee relations, benefits, leave administration, offboarding, employment changes, compliance, and engagement initiatives. Coordinate with Finance, IT, Recruiting, Legal, and leadership while maintaining confidential documentation, escalating complex matters appropriately, and ensuring consistent adherence to People Operations procedures.

Designs and scales secure infrastructure for AI workloads across multi-cloud, hybrid, and edge environments. Builds Infrastructure as Code and GitOps workflows, operates Kubernetes clusters for AI/ML workloads, develops secure CI/CD pipelines, supports MLOps automation, and implements observability, access management, compliance, incident response, and disaster recovery. The role also includes infrastructure documentation and mentoring junior and mid-level engineers.