DevOps Enginer - GenAI Platforms
Budapest Mid-level AI Engineering
At a glance
Mid-level AI Engineering role at ALDI. Budapest.
Pay not stated AI Engineering salary
RoleAI Engineering
SeniorityMid-level
LocationBudapest
PostedSep 4, 2026 · 6w ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Build and run Azure platforms for AI applications, keeping them reliable, scalable and maintainable
- Use Terraform to provision and update infrastructure, and manage environments
- Deploy and operate Kubernetes services, Azure API Management and Azure Foundry workflows
- Create GitLab CI/CD pipelines and use Python automation to make releases repeatable
- Support platform APIs, storage and databases, while troubleshooting with international engineering peers
What you bring
- At least three years working with Microsoft Azure
- Hands-on experience with Azure API Management, Azure Foundry, Terraform, Kubernetes and GitLab CI/CD
- Python skills are required, alongside knowledge of platform APIs, storage, databases and AI concepts such as LLMs or agents
Who this fits
This role suits a mid-level DevOps engineer comfortable owning both platform delivery and operational work. On-call participation may be required. The position is based in Budapest, with flexible hours and the possibility of working from home.
From the employer
- PLACE OF WORK
- 1112 Budapest, Boldizsár utca 2.
- AREA OF EMPLOYMENT
- IT
- START OF WORK
- as soon as possible
- EMPLOYMENT TYPE
- Full-time
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.