AI Platform Engineer

About Us ClearRoute is an engineering consultancy bridging Quality Engineering, Cloud Platforms and Developer Experience. We help enterprises reliably bring high-impact digital products to market faster, cheaper, and safer, working with technology leaders facing complex business challenges. We take as much pride in our people, culture and work-life balance as we do in making better software. We’re not just making better software. We’re making the making of software better. Collaborative, entrepreneurial and dedicated to problem solving, we bring the step change our customer need to sustain innovation. Our values challenge us to do the best we can for ClearRoute, our customers and most importantly our team. This is an opportunity for you to build the organisation from the ground up, use your voice to drive change and help transform organisations and problem domains. The Role We are looking for a Platform Engineer to join client-facing delivery teams and help design, build, and operate modern developer platforms. You will work across a range of industries and tech stacks, so adaptability matters as much as expertise. On any given engagement you might be building a goldenpath CI/CD pipeline, hardening a Kubernetes cluster, migrating secrets management to Vault, or running a platform engineering workshop with a client's engineering teams. You will be expected to lead technical workstreams, pair with client engineers, and leave behind well-documented, production-ready infrastructure. Increasingly, our clients are asking us to help them build the foundations for AI, from model-serving infrastructure and MLOps pipelines to safely integrating LLM powered tooling into existing developer workflows. You don't need to be an ML engineer, but you should be curious about this space and comfortable building the platform layer that makes AI workloads production ready. What You'll Do Platform & Infrastructure • Design and deliver internal developer platforms (IDPs) that improve developer experience and accelerate software delivery. • Build and maintain infrastructure-as-code using Terraform, Pulumi, or CDK and enforce code review and testing standards. • Manage and optimise Kubernetes clusters (EKS, GKE, AKS) including multi-tenancy, networking, RBAC, and cost controls. • Own CI/CD pipelines end-to-end: from source control policies through build, test, security scanning, artefact management, and deployment. • Implement secrets management and certificate lifecycle automation using HashiCorp Vault or equivalent. Reliability & Security • Embed SRE practices: SLOs, error budgets, runbooks, on-call design, and blameless post-mortems. • Integrate security tooling (SAST, DAST, dependency scanning, policy-as-code) into delivery pipelines. • Design and test disaster-recovery strategies; automate them where possible. • Ensure compliance with client security standards and relevant regulatory frameworks. AI & Emerging Technology •…