DevOps Enginer - GenAI Platforms

PLACE OF WORK 1112 Budapest, Boldizsár utca 2. AREA OF EMPLOYMENT IT START OF WORK as soon as possible EMPLOYMENT TYPE Full-time megállapodás szerint .profile_item { list-style-type: none !important; } .profile_heading { font-weight: bold; } .profile_content { padding-bottom: 0.5rem; } .profile_section:has(.profile_item:empty) { display: none; } Your responsibilities: Operate, maintain, and build Azure-based platforms to host AI-enabled applications, ensuring reliability, scalability, and maintainability Build and maintain infrastructure using Terraform (infrastructure as code), including provisioning, updates, and environment management Design, deploy, and operate services on Kubernetes, ensuring scalability and maintainable runtime behavior Enable API-driven platform capabilities by working with Azure API Management Integrate Azure Foundry (Dev tooling / agent framework) into platform workflows as needed Implement and maintain CI/CD pipelines using GitLab Pipelines (GitLab CI/CD) to support repeatable releases and automation Work across development and operations with scripting and automation (with Python required, plus bash, PowerShell, and Go as welcome) Support platform components across API management, storage, and databases required by the AI platform Collaborate with an international team of developers and DevOps engineers, coordinating implementation, troubleshooting, and continuous improvement Provide mentoring to peers, share best practices, and help raise the engineering standards for DevOps/platform delivery Apply knowledge of LLMs, MCP, AI Agents, and Azure AI Search to ensure the platform infrastructure and deployment approach supports AI use cases The knowledge I own: Microsoft Azure: 3+ years of experience working with Azure Azure API Management: Experience working with Azure API Management Azure Foundry: Hands-on experience with Azure Foundry (Dev tooling / agent framework) Terraform: Strong ability to manage infrastructure from code Kubernetes: Good understanding of Kubernetes and container-based operations GitLab CI/CD: Experience with GitLab Pipelines and CI/CD practices Development & Scripting: Python is a must, with additional comfort in bash, PowerShell, and/or Go Core platform areas: Knowledge related to API management, storage, and databases AI platform knowledge: Understanding of LLMs, MCP, AI Agents, and Azure AI Search Comfortable working in an environment that includes operational responsibility; on-call participation may be required Growth-oriented mindset; eager to continuously improve and learn new tools and technologies The offer that would convince me: Opportunity to work on a large-scale platform used by thousands of users across the organization, leveraging modern technology stack (Azure, Kubernetes, Terraform, etc.) Participation in building advanced analytics and automation solutions using modern cloud infrastructure and tooling that directly improve business operations Small, highly technical teams with strong ownership of solutions and architecture Strong support for professional growth through trainings, conferences and internal knowledge sharing Open, collaborative working culture with close interaction between engineering and business teams International collaboration with teams across multiple business domains Flexible working hours with home office possibility Online application: Please use our online application and attach your English resume. AIIS Adatkezelési tájékoztató Privacy notice