About The Role

ABOUT THE ROLE

We're looking for a Senior Cloud / DevOps Engineer to design, build, and operate the cloud infrastructure powering an AI platform in the manufacturing and industrial tech space. You'll take end-to-end ownership of Azure infrastructure, automation, and reliability, working closely with software and ML engineers to support fast-moving product development.

WHAT YOU'LL DO

Design and operate secure, scalable, and highly available Azure infrastructure spanning compute, networking, storage, identity, and platform services.
Build and maintain infrastructure as code using Terraform or Bicep, with a focus on automation and repeatable deployments.
Deploy and operate Docker and Kubernetes/AKS environments, including scaling, networking, upgrades, and production troubleshooting.
Design and improve CI/CD pipelines using GitHub Actions, Azure DevOps, or similar tools to enable reliable software delivery.
Establish strong 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, optimise cloud performance and cost, and prepare infrastructure for future scale.
Own infrastructure initiatives end-to-end and contribute to architecture decisions and incident response.

WHAT WE'RE LOOKING FOR

4–6 years of hands-on experience in Cloud Engineering, DevOps, Platform Engineering, SRE, or a related field.
Strong production experience with Microsoft Azure — architecture, deployment, networking, identity, security, and operations.
Hands-on experience with Terraform or Bicep and a solid Infrastructure as Code mindset.
Production experience with Docker, Kubernetes/AKS, and CI/CD platforms such as GitHub Actions or Azure DevOps.
Strong understanding of cloud security, networking, observability, and automation, with solid Linux and scripting skills.
Experience designing production systems with a focus on availability, scalability, performance, and cost efficiency.
Familiarity with GitOps tooling such as Helm, Argo CD, Prometheus, Grafana, or OpenTelemetry is a plus.
Exposure to AI/ML or GPU-based workloads, or experience in manufacturing, industrial IoT, or robotics environments is a bonus.
Comfortable working in a fast-paced, early-stage environment with a strong sense of ownership.