Senior DevOps Engineer (Azure AI / GenAI Solutions)

Description

We are looking for a Senior DevOps Engineer to join our GenAI development team and support the delivery and operation of cloud-based AI solutions in a secure enterprise environment. The team develops and maintains Retrieval-Augmented Generation (RAG) solutions, Proofs of Concept (PoCs), and AI-powered applications leveraging Azure AI services and modern cloud technologies. This role combines hands-on work with Azure-based services and platforms, operational ownership, and cross-team coordination, working closely with the development team to support AI platforms and applications running on Azure while operating within enterprise processes, security requirements, and operational constraints. Responsibilities 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 Requirements 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

Requirements

• 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

Responsibilities

• 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

Seniority

• Senior

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