AI (artificial intelligence) DevOps Engineer

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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 investing in their AI (artificial intelligence) Platform including building a best in class AI (artificial intelligence) Platform with custom build of everythingRole detailsTitle : AI (artificial intelligence) DevOps EngineerLocation: can be based in either Glasgow or London City, 1 or 2 days a week in the office and home working hybridPermanent role- salary £70,000- 90,000About the jobAn exciting opportunity for a talented AI DevOps Engineer, you will focus on looking at areas where AI can add improvements, as everything is being custom built rather than off the shelfAs 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 transformationWe 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 expectationsWhat 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 & ExperienceExpertise in Azure Kubernetes Service (AKS), Helm, and KEDAInfrastructure-as-code using Bicep or ARM templatesHands-on experience with CI/CD pipelines (e.g., Bitbucket, Azure DevOps)API Gateway, Azure API Management (APIM), Azure Application GatewayMonitoring tools such as Prometheus, Grafana, and Azure MonitorUnderstanding of secure multi-region deployments and network segmentationRemote 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 PlatformHuxley, 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 | OC387148 England and Wales #J-18808-Ljbffr
Location:
City Of London, England, United Kingdom
Job Type:
FullTime

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