OverviewAI (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 platform including build a best in class AI Platform with custom build of everything.

Role details

Title: AI (artificial intelligence) DevOps Engineer

Location: based in Glasgow or London City, 1 or 2 days a week in the office with home working hybrid

Permanent role - salary 70,000-90,000

About the jobAn exciting opportunity for a talented AI DevOps Engineer. You will focus on identifying 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 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 and Semantic Kernel agents, manage Kubernetes clusters, and integrate observability tools to monitor system health and performance.

You will 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 and 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 WorkingExpected 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

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