Enterprise Cloud Deployment Architect - Remote/Travel Ready

Neural Concept; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Competitive salary

Remote/hybrid (20% remote)

Diversity & inclusion

Job summary

Neural Concept seeks an experienced deployment engineer to own end-to-end customer outcomes: from architecture conversations to go-live and steady-state operation, integrating identity, data, and model serving layers. You will collaborate with IT, security and platform teams to assess, design, and resolve incidents, driving playbooks and feedback into Product.

The role requires hands-on expertise across Kubernetes on-premises and cloud, DNS, TLS, and storage, plus strong customer communication

Qualifications

• 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.

Responsibilities

• 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.

Skills

Kubernetes

Linux networking TLS

OIDC & SAML

Kubernetes storage CSI

Production deployment ownership

Customer-facing English

Willingness to travel

Tools

Terraform

GitOps

Prometheus

Grafana

Job description

Neural Concept seeks an experienced deployment engineer to own end-to-end customer outcomes: from architecture conversations to go-live and steady-state operation, integrating identity, data, and model serving layers. You will collaborate with IT, security and platform teams to assess, design, and resolve incidents, driving playbooks and feedback into Product.

The role requires hands-on expertise across Kubernetes on-premises and cloud, DNS, TLS, and storage, plus strong customer communication