Platform Deployment Engineer

Wer wir sind

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. None of that matters until the platform is running inside the customer's environment, on their infrastructure, under their rules. That is this role. 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.

What you will do

The deployment, from the first architecture conversation through go-live and into steady-state operation. Its integration with the customer's identity, data and engineering systems, and the infrastructure and model serving layer beneath it. The relationship with their IT, security and platform teams: assessments, architecture reviews, and the call when something breaks. The diagnosis when it does break, including when the cause sits outside our own software. The runbooks, post-mortems and playbooks that make the next deployment easier, and the feedback loop into Product.

Who you are

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, and 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 you personally carried and then supported. Name it, date it, tell us what went wrong. Professional customer-facing English, and willingness to travel and work your customers' hours. Also valuable: 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.

Fähigkeiten

ICT

Gehaltsspanne

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