> Markdown version of [/jobs/ext/3233918-cloud-solutions-architect](https://www.wearedevelopers.com/jobs/ext/3233918-cloud-solutions-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cloud Solutions Architect - **Company:** Neural Concept - **Location:** Cambridge, UK (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Computer-Aided Design, Artificial Intelligence, Systems Engineering, Linux, Domain Name System (DNS), Python (Programming Language), Routing, OpenID, Cloud Services, Prometheus, Security Assertion Markup Language (SAML), Software Deployment, Enterprise Software Applications, High Performance Computing, Large Language Models, Grafana, Kubernetes, Data Analytics, Machine Learning Operations, Hardware Infrastructure, Terraform - **Published:** September 16, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=baa245755f4ab53d ## About the Role * 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. ## Description 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. Where you will do it Managed Kubernetes across the major clouds. On-premises and fully air-gapped clusters with no route to the internet, GPU infrastructure, self-hosted model serving. Customer HPC environments, schedulers, and shared storage under real load. If installing software with no internet access, on hardware you do not control, reads as the interesting part of the job rather than the obstacle, this will suit you., You will often be the only Neural Concept engineer in the room. 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