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For Companies At a Glance
- Tasks: Build and manage scalable AI infrastructure using Azure Kubernetes Service.
- Company: Join a thriving STEM business focused on cutting-edge AI technology.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Make a real impact in AI development while working with innovative technologies.
- Qualifications: Experience with Azure Kubernetes Service, CI/CD pipelines, and secure deployments.
- Other info: Dynamic team environment with excellent career advancement opportunities.
The predicted salary is between 60000 - 84000 £ per year.
Overview
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 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 job
An 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 & 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
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AI (artificial intelligence) DevOps Engineer employer: Huxley Associates
Contact Detail:
Huxley Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI (artificial intelligence) DevOps Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can sometimes lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Azure Kubernetes Service and CI/CD pipelines. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common DevOps scenarios and AI-related questions. Practice explaining your thought process and how you tackle challenges, as this will help you stand out during technical interviews.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic roles waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace AI (artificial intelligence) DevOps Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Kubernetes Service (AKS), Helm, and KEDA. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the opportunity at StudySmarter and how your background makes you a perfect fit for our AI DevOps Engineer role.
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've identified areas for improvement in previous roles. We love seeing how you’ve used AI to enhance processes or systems—this is key for us!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with our growing team!
How to prepare for a job interview at Huxley Associates
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Azure Kubernetes Service (AKS), Helm, and KEDA. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your CI/CD Skills
Prepare to talk about your experience with CI/CD pipelines, especially with tools like Bitbucket and Azure DevOps. Have specific examples ready that demonstrate how you've implemented these processes to improve deployment efficiency.
✨Understand Security Practices
Familiarise yourself with enterprise-grade security practices, particularly zero trust principles and identity-aware routing. Be prepared to explain how you would ensure secure deployments across multiple Azure regions.
✨Ask Insightful Questions
At the end of the interview, don’t hesitate to ask questions about the team’s current projects or future plans for the AI platform. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
