DevOps Engineer

emagine; Mafra; On-site; EUR 50,000 - 75,000; Full time

Job summary

emagine is seeking a DevOps Engineer to build and operate the cloud foundation for AI initiatives. The role emphasizes Azure-focused cloud-native infrastructure, automation, and secure, scalable deployment across AI workloads.

You will collaborate with international teams, implement IaC patterns, and advance platform reliability while supporting AWS-based workloads as needed.

Qualifications

• Experience with cloud-native development in Azure.
• Hands-on experience with infrastructure automation (IaC) and CI/CD.
• Strong Python and SQL skills; TypeScript is a plus.
• Experience working in cross-functional, international teams.
• Knowledge of enterprise data engineering concepts.
• Familiarity with GenAI software engineering tools.
• Fluent in English.

Responsibilities

• Build and operate cloud-native infrastructure for AI solutions, data pipelines, APIs, agents, and platform services.
• Create reusable infrastructure, deployment, observability, and environment patterns.
• Automate provisioning, configuration, CI/CD, monitoring, logging, secrets management, and cost controls for AI workloads.
• Support cloud architecture decisions for agentic workflows and model integrations.
• Collaborate with security and data protection teams to ensure compliance with standards.
• Work with local teams to onboard environments and troubleshoot deployments.
• Continuously improve platform reliability and operational maturity.

Skills

Azure

IaC

CI/CD

Python

SQL

TypeScript

Cross-functional teams

English

Tools

Snowflake

Azure AI Foundry

Job description

As DevOps Engineer, you will build and operate the cloud foundation for the Central AI team and AI Hubs. Your mission is to ensure AI use cases, agents, data products, and platform components are reliable, scalable, secure, and production-ready. This hands-on role requires collaboration with various teams to design and automate cloud-native infrastructure, with a strong focus on Azure, while also supporting selected AWS-based workloads.

Main Responsibilities

• Build and operate cloud-native infrastructure for AI solutions, data pipelines, APIs, agents, and platform services.
• Create reusable infrastructure, deployment, observability, and environment patterns.
• Automate provisioning, configuration, CI/CD, monitoring, logging, secrets management, and cost controls for AI workloads.
• Support cloud architecture decisions for agentic workflows and model integrations.
• Collaborate with security and data protection teams to ensure compliance with standards.
• Work with local teams to onboard environments and troubleshoot deployments.
• Continuously improve platform reliability and operational maturity.

Key Requirements

• Experience with cloud-native development and deployment, particularly in Azure.
• Strong hands-on experience with infrastructure automation (IaC) and CI/CD.
• Solid engineering skills in Python, SQL, and optionally TypeScript.
• Experience in cross-functional, international teams.
• Understanding of enterprise data engineering concepts with hands-on experience.
• Proficiency using GenAI software engineering tools.
• Fluent in English.

Nice to Have

• Experience with Snowflake, Azure AI Foundry, or similar AI platform tooling.
• Exposure to frontend development or developer portals.
• Experience in heterogeneous multi-country enterprise environments.
• Cloud certifications or experience with DevSecOps practices.

Other Details

This role offers the opportunity to work in a dynamic environment supporting AI integration across multiple regions.