Enterprise Cloud Architect - Remote Deployment

Neural Concept

Cambridge

Hybrid

GBP 90,000 - 130,000

Full time

32 hours ago
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Benefits offered by this job

Competitive salary
Remote/hybrid work
Career development
Global impact

Job summary

Neural Concept is seeking a seasoned Deployment Engineer to own enterprise platform deployments for named customers, from architecture conversations through go-live and steady-state operation. You will integrate the platform with customers' IAM, data, and engineering stacks, support their IT and security teams, and ensure reliability in complex, air-gapped or regulated environments.

You will travel within Europe, work across time zones as needed, and enjoy a remote-friendly, hybrid model (20%

Qualifications

  • 6+ years deploying enterprise software in production.
  • Deep Kubernetes knowledge: charts, manifests, start failures.
  • OIDC and SAML identity fundamentals.
  • Linux networking TLS, DNS, routing, ingress.
  • Storage: persistent volumes and CSI.
  • Professional English and willingness to travel.

Responsibilities

  • Lead deployment from architecture to go-live and steady-state.
  • Integrate with identity, data, engineering systems and infra.
  • Coordinate with IT, security, and platform teams.
  • Diagnose issues including external causes and runbooks.
  • Create runbooks, post-mortems, and improve future deployments.

Skills

Enterprise deployments
Kubernetes config
OIDC SAML
Linux networking TLS
Kubernetes storage
Customer facing English
Travel willingness

Job description

Neural Concept is seeking a seasoned Deployment Engineer to own enterprise platform deployments for named customers, from architecture conversations through go-live and steady-state operation. You will integrate the platform with customers' IAM, data, and engineering stacks, support their IT and security teams, and ensure reliability in complex, air-gapped or regulated environments.

You will travel within Europe, work across time zones as needed, and enjoy a remote-friendly, hybrid model (20%

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