5 дней назад
Deployment Engineer (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Deployment Engineer (AI/Kubernetes): Deploying and operating AI design and simulation platforms in enterprise customer environments with an accent on Kubernetes, air-gapped infrastructure, identity integration, and GPU-backed model serving. Focus on architecting production deployments, diagnosing failures across customer infrastructure, and supporting integrations with security, engineering, and HPC systems.
Location: Jersey City office or the US West Coast; hybrid model with 20% remote work. Travel to customer locations in the US is required.
Company
embeds AI into design and simulation workflows to help engineering teams make continuous, data-driven decisions.
What you will do
- Own enterprise 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.
- Partner with customer IT, security, and platform teams on assessments, architecture reviews, and incident resolution.
- Diagnose failures across the platform and customer infrastructure, including issues outside the company's software.
- 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 two years in environments outside your control.
- Configuration-level Kubernetes expertise, including chart values, rendered manifests, and workload troubleshooting.
- Experience with OIDC, SAML, identity clients, credential rotation, redirect URIs, and group-to-role mapping.
- Strong Linux, networking, TLS, DNS, routing, ingress, egress, certificate chain, and interception proxy knowledge.
- Experience with Kubernetes storage, persistent volumes, CSI, access modes, and shared-storage troubleshooting under load.
- Professional customer-facing English, willingness to travel and work customer hours, and ITAR clearance are required.
Nice to have
- Experience with regulated or air-gapped deployments, private registries, and image mirroring.
- GPU scheduling, LLM serving, enterprise identity provider administration, Terraform, or GitOps.
- Prometheus, Grafana, HPC schedulers, ISO 27001 evidence, or Python.
- PLM, CAD, or CAE experience.
Culture & Benefits
- Collaborative, multicultural environment with visible and recognized work.
- Knowledge sharing and professional development alongside experienced colleagues.
- Remote or hybrid flexibility focused on results rather than rigid schedules.
- Paid vacation, medical, vision, and dental healthcare.
- 401(k) matching and competitive compensation.
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