Jobs · Engineering

Copy of Cloud Solutions Architect

Neural Concept · United States · 1 mo ago
RemoteRemoteEngineeringFull-time

About the role

You take an enterprise customer and make the Neural Concept platform real for them: architecting, deploying, integrating, clearing it with their security organisation, and ensuring it runs stably so their engineers can focus on their work. You own this outcome end‑to‑end for named accounts, serving as their primary technical counterpart.

Responsibilities

  • Lead 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, as well as the underlying infrastructure and model‑serving layer.
  • Build relationships with the customer’s IT, security, and platform teams: conduct assessments, architecture reviews, and be the point of contact when something breaks.
  • Diagnose failures, including when the root cause lies outside Neural Concept’s software.
  • Create runbooks, post‑mortems, and playbooks that streamline future deployments and feed lessons back into Product.

Requirements

  • 6+ years deploying and operating enterprise software in production, with at least 2 years in environments you did not control.
  • Deep Kubernetes knowledge: how chart values become rendered manifests and why workloads fail to 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/egress, certificate chains, interception proxies.
  • Kubernetes storage: persistent volumes and CSI, access modes, diagnosing shared storage that degrades under load.
  • A production deployment you personally carried out and then supported – be ready to name it, give the date, and describe what went wrong.
  • Professional customer‑facing English and willingness to travel and work customers’ hours.

Skills

  • Experience with 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 programming.
  • Exposure to PLM, CAD, or CAE tools.

Benefits

  • Work with a world‑class technology team focused on excellence.
  • Competitive salary and rewarding opportunities as we scale.
  • Collaborative, multicultural environment where your work is visible and recognised.
  • Professional development alongside talented colleagues who share knowledge freely.
  • Make a global impact by enabling AI‑assisted design, accelerating innovation while improving sustainability.

Schedule

  • Location: Lausanne, Switzerland
  • Travel: required to customer locations within Europe
  • Start date: ASAP
  • Work model: remote/hybrid (20% remote)

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