DevOps Engineer - GenAI Platforms

Stack

Responsibilities

• ▹Operate, maintain and build Azure-based platforms that host AI-enabled applications, ensuring reliability, scalability and maintainability
• ▹Build and maintain infrastructure with Terraform (infrastructure as code), including provisioning, updates and environment management
• ▹Design, deploy and operate services on Kubernetes
• ▹Enable API-driven platform capabilities with Azure API Management
• ▹Integrate Azure Foundry (dev tooling / agent framework) into platform workflows
• ▹Implement and maintain CI/CD pipelines with GitLab Pipelines for repeatable releases and automation
• ▹Script and automate across development and operations (Python required; bash, PowerShell and Go welcome)
• ▹Support the API management, storage and database components required by the AI platform
• ▹Collaborate with an international team of developers and DevOps engineers on implementation, troubleshooting and continuous improvement
• ▹Mentor peers, share best practices and raise engineering standards for DevOps and platform delivery
• ▹Apply knowledge of LLMs, MCP, AI agents and Azure AI Search so the platform supports AI use cases

Requirements

• ▹3+ years of experience with Microsoft Azure
• ▹Experience with Azure API Management
• ▹Hands-on experience with Azure Foundry (dev tooling / agent framework)
• ▹Strong ability to manage infrastructure from code with Terraform
• ▹Good understanding of Kubernetes and container-based operations
• ▹Experience with GitLab Pipelines and CI/CD practices
• ▹Python is a must
• ▹Knowledge of API management, storage and databases
• ▹Understanding of LLMs, MCP, AI agents and Azure AI Search
• ▹Comfortable with operational responsibility; on-call participation may be required

Nice to have

• ▹Comfort with bash, PowerShell and/or Go

Soft skills

What we offer

• ▹Large-scale platform used by thousands of users across the organization, built on a modern stack (Azure, Kubernetes, Terraform)
• ▹Building advanced analytics and automation solutions that directly improve business operations
• ▹Small, highly technical teams with strong ownership of solutions and architecture
• ▹Professional growth supported by trainings, conferences and internal knowledge sharing
• ▹Open, collaborative culture with close interaction between engineering and business teams
• ▹International collaboration with teams across multiple business domains
• ▹Flexible working hours with home office possibility