About The Role

ABOUT THE ROLE

We're looking for a Cloud / DevOps Engineer to own and evolve the cloud infrastructure powering a growing AI platform. Working closely with software and ML engineers, you'll have real architectural influence and end-to-end responsibility for a modern Azure-based stack.

WHAT YOU'LL DO

Design and operate secure, scalable, highly available Azure infrastructure spanning compute, networking, storage, identity, and platform services.
Build and maintain infrastructure as code using Terraform or Bicep, ensuring consistent and repeatable deployments.
Deploy and manage Docker and Kubernetes/AKS environments, including scaling, networking, upgrades, security hardening, and production troubleshooting.
Design and improve CI/CD pipelines using GitHub Actions, Azure DevOps, or equivalent platforms for reliable software delivery.
Establish cloud security, observability, and reliability practices covering IAM, secrets management, monitoring, logging, alerting, backup, and disaster recovery.
Partner with engineering and ML teams to support AI/ML workloads and optimise cloud performance and cost.
Own infrastructure initiatives end-to-end and contribute to architecture decisions and incident response.

WHAT WE'RE LOOKING FOR

4+ years of hands-on experience in Cloud Engineering, DevOps, Platform Engineering, or SRE.
Strong production experience with Microsoft Azure across architecture, deployment, networking, identity, and security.
Solid Infrastructure as Code experience with Terraform or Bicep in production environments.
Production experience deploying and operating Docker and Kubernetes/AKS clusters.
Demonstrated end-to-end ownership of cloud infrastructure, including architecture decisions — not just an operations or contributor role.
Background at a large-scale technology or enterprise organisation, with comfort translating that experience into a fast-paced, early-stage environment.
Strong grasp of cloud security (IAM, secrets management), observability, reliability, and automation.
Solid Linux administration and scripting skills (Bash, Python, or equivalent).
Experience with GitOps, Helm, Argo CD, Prometheus, Grafana, or OpenTelemetry is a plus.
Familiarity with AI/ML or GPU-based workloads, or multi-cloud environments (AWS/GCP alongside Azure), is a bonus.