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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
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Information Technology
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