DevOps Enginer - GenAI Platforms

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.

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