Teams at ClearRoute

Leads development of an internal Azure platform for AI workloads, creating golden paths, developer tooling, self-service environments, CI/CD, observability, security guardrails, model access, and evaluation workflows. The role operates between platform engineering and product teams, supporting Kubernetes, infrastructure-as-code, GitOps, LLM integrations, and developer enablement. Responsibilities include maintaining a developer portal, coaching teams, documenting platform capabilities, measuring adoption, and improving delivery speed and reliability.

Own the architecture and roadmap for a production Azure enterprise AI platform supporting model access, agent orchestration, integrations, governance, security, and observability. Define production standards for agents, including evaluation, monitoring, cost controls, identity, data residency, and release processes. Advise senior stakeholders, review solution designs, establish reusable patterns for the AI Centre of Excellence, and guide integration with HR, service management, and enterprise data systems.

Lead a small engineering pod building an internal Skills Marketplace MVP. Design and develop a full-stack application using Kotlin and Spring on the backend and React on the frontend. Collaborate directly with clients and stakeholders, lead day-to-day technical delivery, support adoption, and apply AI tools such as Claude to accelerate solution design. The role requires technical team leadership, full-stack development, user engagement, multidisciplinary collaboration, and a startup-oriented mindset.