devops engineer AI solutions

The team develops and maintains Retrieval-Augmented Generation (RAG) solutions, proofs of concept, and AI-powered applications leveraging Azure AI services and modern cloud technologies.

• Support DevOps activities for Azure-based AI and GenAI solutions;
• Support and maintain Azure Kubernetes Service (AKS) environments;
• Work with Azure DevOps pipelines, release processes, and deployment activities;
• Support and troubleshoot Azure AI Search and AI Services (Foundry);
• Support and maintain operational workflows involving n8n and LangSmith;
• Coordinate activities related to WAFs, firewalls, private networking, and secure connectivity;
• Monitor, investigate, and help resolve operational and deployment-related issues;
• Manage and track tickets, service requests, approvals, and dependencies across multiple teams;
• Collaborate with development, QA, infrastructure, security, and platform teams to deliver changes and resolve issues;
• Drive DevOps-related activities from initiation to completion and ensure timely follow-up on open actions;
• Contribute to secure, reliable, and efficient operation of cloud-based solutions.

• 3+ Years of hands-on production experience with Azure, Azure DevOps, and Azure Kubernetes Service (AKS);
• Proficiency in Azure AI Search and AI Services (Foundry);
• Experience with n8n and LangSmith;
• Knowledge of WAFs, firewalls, and Private Links;
• Experience working in secure enterprise environments with restricted access and governance controls;
• Experience supporting production systems through ticket-driven operational processes;
• Ability to coordinate activities across multiple teams and stakeholders;
• Strong ownership mindset and ability to drive tasks to completion;
• Strong organizational, communication, and follow-through skills;
• Ability to work independently with minimal supervision;
• English proficiency at B2 level or higher;
• Nice to have: Experience with Dataiku or similar data science platforms, familiarity with OpenWebUI, experience supporting R&D initiatives, proofs of concept, and rapid prototyping environments, experience with monitoring, logging, and observability tools.

• No conditions specified