AI (artificial intelligence) DevOps Engineer Azure Kubernetes Service (AKS),

Brilliant new opportunity for a AI DevOps Engineer with expertise in Azure Kubernetes Service (AKS), Helm, and KEDA to join a thriving STEM business who are heavily investigating in their AI (artificial intelligence) Platform including build a best in class AI (artificial intelligence) Platform with custom build of everything

Role details

• Title : AI (artificial intelligence) DevOps Engineer
• Location: can be based in either Glasgow or London City, 1 or 2 days a week in the office and home working hybrid
• Permanent role- salary 70,000- 90,000

About the job

An exciting opportunity for a talented AI DevOps Engineer, you will focused on looking at areas where AI can add improvements, as everything is being custom built rather than off the shelf

As an AI DevOps Engineer, you will be responsible for building and managing scalable, secure infrastructure for our multi-agent AI orchestration platform. This is an opportunity to join a high functioning relaxed team that will significantly contribute to the digital transformation

We do have other artificial intelligence roles in the team including AI (artificial intelligence) test Engineer roles, so please do send through a CV still if that is more in line with your expectations

What are the key expectations of this role?

• This role involves working across multiple Azure regions (UK South, Sweden Central, East US) to ensure high availability, secure deployments, and efficient agent orchestration using AKS.

• You will create and maintain CI/CD pipelines for Azure services, Semantic Kernel agents, manage Kubernetes clusters, and integrate observability tools to monitor system health and performance.

• You'll also ensure alignment with enterprise-grade security practices, including zero trust principles, identity-aware routing, and integration with Azure API Management and Application Gateway.

Skills, Knowledge & Experience

• Expertise in Azure Kubernetes Service (AKS), Helm, and KEDA
• Infrastructure-as-code using Bicep or ARM templates
• Hands-on experience with CI/CD pipelines (e.g., Bitbucket, Azure DevOps)
• API Gateway, Azure API Management (APIM), Azure Application Gateway
• Monitoring tools such as Prometheus, Grafana, and Azure Monitor
• Understanding of secure multi-region deployments and network segmentation

Remote Working

Expected to be in the office 1 to 2 days a week. With additional days depending on activity (e.g. a design workshop)

This is a brilliant opportunity for a talented AI DevOps Engineer to join this business as they are genuinely growing and developing for a world class artificial intelligence AI Platform

To find out more about Huxley, please visit (url removed)

Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales