Deployment Engineer (AI)

Location: Lausanne, Switzerland; hybrid with 20% remote work. Travel to customer locations within Europe is required, including working customers' hours.

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 customer deployments from architecture discussions through go-live and steady-state operation.
• Integrate the platform with customer identity, data, engineering systems, infrastructure, and model-serving layers.
• Work with customer IT, security, and platform teams on assessments, architecture reviews, and incident resolution.
• Diagnose failures across the platform and customer-managed infrastructure.
• Create runbooks, post-mortems, and deployment playbooks, and provide feedback to Product.

Requirements

• 6+ years of experience deploying and operating enterprise software in production, including at least 2 years in environments outside your control.
• Configuration-depth knowledge of Kubernetes, including chart values, rendered manifests, and workload troubleshooting.
• Experience with OIDC, SAML, clients, credential rotation, redirect URIs, and group-to-role mapping.
• Strong Linux, networking, and TLS knowledge, including DNS, routing, ingress, egress, certificate chains, and interception proxies.
• Experience with Kubernetes storage, persistent volumes, CSI, access modes, and shared-storage troubleshooting under load.
• Professional customer-facing English and willingness to travel and work customers' hours.

Nice to have

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

Culture & Benefits

• Collaborative, multicultural environment with knowledge sharing and professional development.
• Remote or hybrid work model with emphasis on results rather than rigid schedules.
• Competitive salary and opportunities for professional growth.
• Work with AI-assisted design technology intended to make engineering innovation faster, smarter, and more sustainable.