Overview

AI (artificial intelligence) DevOps Engineer – de Mare Consulting

Job Details

• Title: AI (artificial intelligence) DevOps Engineer
• Location: Glasgow or London City; hybrid working (1–2 days per week in the office, and remote working)
• Employment type: Permanent
• Salary: £70,000–£90,000

About the Role

An exciting opportunity for a talented AI DevOps Engineer focused on building and managing scalable, secure infrastructure for a multi-agent AI orchestration platform. This role contributes to developing a best-in-class AI platform with custom-built components.

Responsibilities

• Build and manage scalable, secure infrastructure for the multi-agent AI orchestration platform.
• Design and implement CI/CD pipelines for Azure services and Semantic Kernel agents.
• Manage Kubernetes clusters (Azure Kubernetes Service), integrate observability tools, and ensure high availability.
• Apply enterprise-grade security practices, including zero-trust principles, identity-aware routing, and integration with Azure API Management and Azure Application Gateway.
• Collaborate across multiple Azure regions (UK South, Sweden Central, East US) to ensure high availability and secure deployments.

Qualifications

• Expertise in Azure Kubernetes Service (AKS), Helm, and KEDA.
• Infrastructure as code using Bicep or ARM templates.
• Hands-on experience with CI/CD pipelines (Bitbucket, Azure DevOps).
• Experience with API gateways and Azure API Management (APIM) and 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 1–2 days a week. Additional days may be required for activities such as design workshops.