Mid DevOps (Azure)

TL;DR

Mid DevOps (Azure): Developing and improving cloud-native infrastructure and platform solutions within Microsoft Azure environments with an accent on Kubernetes-based platforms and workflow orchestration. Focus on building CI/CD pipelines, automating operational tooling with Python, and ensuring the scalability and reliability of distributed systems.

Location: Must be based in the European Union region and possess a valid work permit.

Company

Global AI-first digital transformation and engineering partner specializing in AI, Cloud, and Intelligent Automation.

What you will do

• Develop and maintain cloud-native infrastructure and platforms within Microsoft Azure environments.
• Build and support Kubernetes-based platforms, specifically Azure Kubernetes Service (AKS).
• Implement workflow orchestration using technologies such as Argo Workflows, Temporal, or Airflow.
• Create Python-based automation scripts, operational tooling, and workflow components.
• Support event-driven messaging solutions including Azure Service Bus, Kafka, and Event Hub.
• Collaborate with architects and engineers to deliver scalable and maintainable platform solutions.

Requirements

• Commercial experience in DevOps, platform engineering, or cloud infrastructure roles.
• Strong hands-on experience with Kubernetes, preferably within Azure Kubernetes Service (AKS).
• Solid experience working with the Microsoft Azure cloud ecosystem.
• Practical experience with workflow orchestration platforms (Argo, Temporal, Airflow).
• Proficiency in Python for scripting, automation, and operational tooling.
• Work permit and residency in the European Union region are required.

Nice to have

• Experience with enterprise-scale cloud transformation initiatives.
• Knowledge of distributed systems and event-driven architecture patterns.
• Experience applying GenAI within the SDLC through defined workflows or prompt patterns.
• Practical experience using AI-powered assistants like GitHub Copilot, Cursor, or Claude Code.

Culture & Benefits

• People-first culture with a strong focus on engineering excellence.
• Continuous growth and knowledge sharing opportunities within a global expert team.
• Opportunity to work with prestigious clients such as Spotify, Disney, and McLaren.
• Collaboration across distributed engineering teams in an international environment.

Hiring process

• CV review and HR call.
• Technical Interview.
• Client Interview.
• Final Decision.