We’re looking for a DevOps Engineer who’s excited about building the infrastructure behind next-generation AI products. You’ll join a small, experienced team developing an internal Kubernetes-based platform that enables AI innovation across the organisation automating everything from deployments to observability, and helping developers build smarter applications with confidence. What you’ll be doing: Designing, deploying, and maintaining Azure Kubernetes (AKS) environments Managing Infrastructure as Code with Terraform and improving GitOps workflows (ArgoCD / GitHub Actions) Building observability and monitoring stacks using Prometheus, Grafana, and Loki Supporting AI workloads (LLMs, RAG, and document processing applications) running on Kubernetes Automating platform operations with Python, Go, and shell scripting Implementing security guardrails, PII compliance tooling, and best practices for production AI systems What you’ll need: 3 years’ experience in DevOps or Platform Engineering Strong background in Azure and Kubernetes Hands-on experience with Terraform, CI/CD, and container orchestration Familiarity with observability tools (Prometheus, Grafana, Loki) Scripting or programming skills in Python or Go Interest in AI infrastructure, LLMOps, or large language model deployment