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For Companies At a Glance
- Tasks: Build and manage secure infrastructure for a cutting-edge AI orchestration platform.
- Company: De Mare Consulting, a leader in innovative AI solutions.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Experience with Azure Kubernetes Service and CI/CD pipelines required.
- Other info: Collaborative environment with a focus on innovation and security.
The predicted salary is between 60000 - 84000 £ per year.
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.
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AI (artificial intelligence) DevOps Engineer employer: de mare consulting
Contact Detail:
de mare consulting 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 AI and DevOps space on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio 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 challenges. Be ready to discuss how you’d tackle real-world problems, especially around security practices and multi-region deployments.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
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 is tailored to the AI DevOps Engineer role. Highlight your experience with Azure Kubernetes Service, CI/CD pipelines, and any relevant projects that showcase your skills in building scalable infrastructure.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and DevOps. Mention specific experiences that align with the responsibilities listed in the job description, and show us how you can contribute to our multi-agent AI orchestration platform.
Showcase Your Technical Skills: Don’t forget to include your technical skills prominently. We want to see your expertise in tools like Helm, KEDA, and monitoring tools like Prometheus and Grafana. Make it easy for us to see how you fit into our tech stack!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at de mare consulting
✨Know Your Tech Stack
Make sure you’re well-versed in Azure Kubernetes Service, CI/CD pipelines, and the tools mentioned in the job description. Brush up on your knowledge of Helm, KEDA, and infrastructure as code using Bicep or ARM templates. Being able to discuss these technologies confidently will show that you're ready for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially related to building scalable and secure infrastructures. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easier for the interviewer to see how you approach problem-solving.
✨Demonstrate Collaboration Experience
Since this role involves working across multiple Azure regions, be ready to talk about your experience collaborating with teams. Share examples of how you’ve worked with others to ensure high availability and secure deployments, highlighting your communication skills and teamwork.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the company’s AI platform and their approach to security practices. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals. It’s a win-win!
