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Platform Deployment Engineer - West Coast

Neural Concept San Mateo, United States
Full-time Hybrid work

Publication date: 09/11/2026

Neural Concept embeds AI into design and simulation workflows so engineering teams make continuous, data-driven decisions instead of waiting on sequential design–simulation–validation cycles. You take an enterprise customer and make the platform real for them: architected, deployed, integrated, cleared by their security organisation, and stable enough that their engineers stop thinking about it. You own that outcome end to end for named accounts, as their primary technical counterpart.

Responsibilities

Own the deployment from the first architecture conversation through go-live and into steady-state operation; Integrate the platform with the customer's identity, data and engineering systems, and the infrastructure and model serving layer beneath it; Manage the relationship with the customer's IT, security and platform teams, including assessments, architecture reviews, and the call when something breaks; Diagnose failures, including when the cause sits outside Neural Concept's software; Create runbooks, post-mortems and playbooks, and provide the feedback loop into Product

Requirements

6+ years deploying and operating enterprise software in production, two of them in environments you did not control; Kubernetes at configuration depth (how chart values become rendered manifests, why a workload will not start); Identity and SSO fundamentals (OIDC and SAML, clients and credential rotation, redirect URIs, group-to-role mapping); Linux, networking and TLS (DNS, routing, ingress and egress, certificate chains and interception proxies); Kubernetes storage (persistent volumes and CSI, access modes, diagnosing shared storage that degrades under load); A production deployment personally carried and then supported; Professional customer-facing English; Willingness to travel and work customers' hours; ITAR clearance required

Nice to have

Regulated or air-gapped deployments; Private registries and image mirroring; GPU scheduling and LLM serving; Enterprise IdP administration; Terraform and GitOps; Prometheus and Grafana; HPC schedulers; ISO 27001 evidence; Python; PLM, CAD or CAE exposure

Benefits

Work with a world-class technology team; Competitive salary and rewarding opportunities; Collaborative, multicultural environment; Professional development alongside talented colleagues; Remote work or hybrid model (20% remote); Paid vacations; Healthcare (medical/vision/dental); 401K matching
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