Platform Deployment Engineer - East Coast

Role overview Own technical delivery of an enterprise AI platform for customers, from initial architecture through deployment and ongoing production support. You’ll serve as the primary technical contact, integrating the platform into customer-managed infrastructure and helping engineering teams use AI in design and simulation workflows.

Responsibilities - Plan and deliver deployments from architecture discussions through launch and steady-state operations. - Integrate with customer identity, data, engineering, infrastructure, and model-serving systems. - Work with customer IT, security, and platform teams through assessments, reviews, and operational issues. - Diagnose incidents across the full environment, including problems outside the platform itself. - Create runbooks and post-mortems, improve deployment playbooks, and share customer feedback with product teams. - Support managed Kubernetes, on-premises and air-gapped clusters, GPU infrastructure, model serving, and high-performance computing environments.

Requirements - At least six years deploying and operating production enterprise software, including two years in environments outside your control. - Hands-on Kubernetes configuration knowledge, including Helm values, rendered manifests, and workload troubleshooting. - Working knowledge of OIDC and SAML, identity provider integration, credential rotation, redirect URIs, and group-to-role mapping. - Linux, networking, TLS, DNS, routing, ingress and egress, certificate chains, and Kubernetes storage experience. - Experience personally carrying a production deployment through launch and supporting it afterward. - Professional customer-facing English, willingness to travel to US customer sites, and ability to work customer schedules; ITAR clearance is required.

Nice to have Experience with regulated or air-gapped deployments, private registries, GPU scheduling, LLM serving, enterprise identity administration, Terraform, GitOps, Prometheus, Grafana, HPC schedulers, ISO 27001 evidence, Python, or PLM/CAD/CAE systems.

Benefits and work setup Based in Jersey City, with US customer travel. The role offers a hybrid arrangement (listed as 20% remote), paid vacation, medical, vision and dental coverage, and 401(k) matching. The source also describes a collaborative, multicultural team and opportunities for professional development.