Senior Cloud Engineer – Azure

Artificialyis an AI company based in Switzerland, with offices in Lugano and Zurich. We design and deliver AI solutions that are impactful, transparent, and tailored to real-world industry needs.

Founded in 2020 by pioneers with over 40 years of combined experience in the field, our team brings together talented engineers, physicists, and mathematicians from across Europe. We are driven by curiosity, technical excellence, and a shared ambition to build AI systems that make a tangible difference.

Working Location

The role can be based in Lugano or Zurich. You must be willing to work onsite at least 80% of the time.

About the Role

Ready to build the cloud infrastructure behind the next generation of AI?

We are looking for a Senior Cloud Engineer whowill design andoperatethe cloud infrastructure behind our AI and software solutions. You will work closely with clients, project managers, software engineers, and AI teams, taking ownership of Azure environments from architecture and deployment to automation and operations.

Whatyou’lldo:

• Contributeto the migration and modernization of applications and services to Azure, ensuring reliability, scalability, security, and operational excellence.

• Build andmaintaincloud infrastructure, CI/CD pipelines, observability solutions, and deployment automation, supporting both enterprise applications and AI/ML workloads.

• Collaborate with machine learning engineers and infrastructure teams to enable production-ready AI solutions, includingMLOpsworkflows and Azure AI services.

• Work directly with clients (both remotely and in-person), combining strong technicalexpertisewith excellent interpersonal skills.

Qualificationsand Skills:

• Bachelor’s orMaster's degree in Computer Science, Data Science, Mathematics, Engineering, or equivalent.

• 5+ years of professional experiencein cloud engineering, DevOps, infrastructure engineering, or related fields.

• Strong hands-on experience withMicrosoft Azureinproduction environments.

• Experience building andmaintainingCI/CD pipelinesand deployment automation.

• Experience designing and operatingAzure landing zones, governance, and access modelsfor production environments.

• Knowledge ofAzure networking, identity, security, governance, and monitoring services.

• Experience with container technologies and orchestration tools(Docker, Azure Container Apps, or similar).

• Familiarity withGit-based workflows(GitLab, GitHub, Bitbucket).

• Strong communication, problem-solving, and collaboration skills.

• Proficiencyin English.

Nice to Have:

• Experience with Kubernetes

• Experience with observability tools, logging, metrics, tracing, and monitoring (e.g.Azure Monitor, Application Insights,OpenTelemetry).

• Understanding ofscalability, resilience, disaster recovery, and cloud cost optimization.

• Experience supporting ML or AI workloads in production

• Experience with Azure Machine Learning, Azure AI Foundry, or Azure OpenAI Service

• Background in manufacturing or engineering domains

• German language is a plus

Weoffer:

• Full-timepermanentcontract

• Competitivecompensationandgrowthopportunities

• A stimulating scientific environment with an informal working atmosphere

• Mentorship and continuous learning and close relationship withcutting-edgeresearch teams

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