Deployment Engineer (AI/Kubernetes)

Location: San Mateo, California; hybrid with 20% remote work; travel to customer locations in the US and work during customers' hours. ITAR clearance is required.

Salary: $200,000–$250,000 per year.

Company

hirify.global embeds AI into design and simulation workflows to help engineering teams make continuous, data-driven decisions.

What you will do

• Own enterprise platform deployments from initial architecture discussions through go-live and steady-state operation.
• Integrate the platform with customer identity, data, engineering systems, infrastructure, and model-serving layers.
• Partner with customer IT, security, and platform teams through assessments, architecture reviews, and incident response.
• Diagnose production failures, including issues originating outside hirify.global software.
• Create runbooks, post-mortems, and deployment playbooks, and provide feedback to Product.

Requirements

• 6+ years deploying and operating enterprise software in production, including 2 years in environments outside your control.
• Configuration-depth Kubernetes knowledge, including chart values, rendered manifests, and workload troubleshooting.
• Identity and SSO fundamentals: OIDC, SAML, clients, credential rotation, redirect URIs, and group-to-role mapping.
• Linux, networking, and TLS knowledge, including DNS, routing, ingress and egress, certificate chains, and interception proxies.
• Kubernetes storage experience with persistent volumes, CSI, access modes, and shared-storage troubleshooting under load.
• Personal ownership of a production deployment and its subsequent support; applicants must be able to describe what happened, when, and what went wrong.
• Professional customer-facing English, willingness to travel, and willingness to work customers' hours.

Nice to have

• Regulated or air-gapped deployments, private registries and image mirroring, GPU scheduling, or LLM serving.
• Enterprise identity-provider administration, Terraform, GitOps, Prometheus, Grafana, HPC schedulers, or ISO 27001 evidence.
• Python and exposure to PLM, CAD, or CAE.

Culture & Benefits

• Collaborative, multicultural environment with knowledge sharing and visible work.
• Remote or hybrid work model with 20% remote work and flexible scheduling focused on results.
• Paid vacation and medical, vision, and dental healthcare.
• 401(k) matching and professional development alongside experienced colleagues.
• Work on AI-assisted design and simulation deployments for engineering customers.

Hiring process

• Applicants must provide details of a production deployment they personally carried and supported, including the date and what went wrong.
• Start date: ASAP.