DevOps Engineer (AI-First Platform Engineering)

We're seeking an experienced Senior DevOps Engineer to join a growing Platform Engineering function on an initial 3-month contract. This is an opportunity to work at the forefront of modern cloud engineering, supporting a business as it transitions towards an AI-first engineering model. You'll be responsible for maintaining and evolving Azure-based platforms, driving automation, supporting cloud infrastructure at scale and helping embed AI-assisted delivery practices across the engineering lifecycle. Working across both established services and emerging AI-driven workloads, you'll play a key role in ensuring the platform remains secure, scalable, cost-effective and ready for future growth.

Why Join?

• Be part of an organisation actively embracing AI-first engineering and software delivery.
• Work with modern Azure, Kubernetes and Infrastructure-as-Code technologies.
• Influence platform automation, DevSecOps and cloud engineering best practices.
• Gain exposure to AI-enabled infrastructure and next-generation cloud delivery models.
• Join a collaborative engineering environment focused on innovation and continuous improvement.

Key Responsibilities

• Design, build and support secure, scalable, highly available and cost-optimised cloud infrastructure.
• Deliver infrastructure through Infrastructure as Code using modern automation practices.
• Support the evolution of an AI-first engineering approach across platform delivery.
• Build, manage and optimise Kubernetes services within Azure environments.
• Create and enhance CI/CD pipelines to support continual delivery.
• Implement DevSecOps principles, embedding security throughout the development lifecycle.
• Monitor platform availability, performance and reliability while supporting incident resolution.
• Manage cloud networking, compute and storage services with a focus on operational excellence and cost control.

• Proven experience as a Senior DevOps Engineer within Azure cloud environments.
• Strong expertise in Terraform, Azure DevOps, YAML and ARM templates.
• Extensive Kubernetes experience including containerisation and Helm chart management.
• Strong Scripting and automation skills using PowerShell, Bash and Python.
• Experience designing, building and supporting CI/CD pipelines and Infrastructure as Code frameworks.
• Strong understanding of cloud security, DevSecOps and secure platform architecture.
• Experience operating within AI-assisted or AI-enabled software delivery environments and overseeing AI-generated outputs.
• Working knowledge of .NET workloads and Linux-based environments.

Desirable Experience

• Deploying and supporting AI or machine learning workloads in Azure.
• Securing AI services, endpoints and AI infrastructure.
• Experience with Bicep, AWS and Enterprise Landing Zone principles.
• Knowledge of observability platforms such as Prometheus, Grafana or SigNoz.
• Strong understanding of FinOps, cloud governance and identity security.

Key Technologies Azure | Azure DevOps | Terraform | Kubernetes | AKS | Helm | Infrastructure as Code | CI/CD | DevSecOps | PowerShell | Bash | Python | ARM Templates | YAML | .NET | Linux | AI-Assisted Engineering | AI Workloads | Cloud Security