We are seeking an experienced Azure DevOps Engineer to support the design, implementation, and maintenance of a secure, scalable Azure environment supporting AI and LLM-based services.
Role Overview
You will work closely with architecture, infrastructure, security, and business teams to deliver robust cloud solutions. The role involves hands‑on engineering as well as acting as an escalation point for infrastructure issues, including occasional out‑of‑hours support.
Key Responsibilities
- Design, build, and maintain Azure-based infrastructure using Infrastructure as Code (Bicep/ARM)
- Support deployment and management of AI-focused platforms and containerised workloads
- Ensure high availability, scalability, disaster recovery, and security best practices
- Collaborate with stakeholders to translate business needs into technical solutions
- Provide technical guidance and escalation support to global support teams
- Maintain clear technical and operational documentation
- Work with security teams to ensure compliance with relevant standards
- Monitor, troubleshoot, and optimise cloud infrastructure, including cost efficiency
Requirements
- Strong experience with Microsoft Azure
- Experience with Infrastructure as Code (Bicep/ARM or similar)
- Understanding of containerisation technologies
- Knowledge of networking concepts and cloud security best practices
- Experience supporting production cloud environments (2nd/3rd line level or equivalent)
- Strong analytical, troubleshooting, and problem‑solving skills
- Good communication and stakeholder engagement abilities
- Familiarity with AI/LLM platforms desirable
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