3 meilleures offres (devops engineer cloud engineering) (à pourvoir)

Senior Cloud Engineer – Azure
Artificialy —Lugano, TI
- 100%
- Télétravail
- Anglais
- Niveau Master
- Niveau Licence
1 h
Director, Platform and Integration Lead
Blockstream —Zürich, ZH
- 100%
- Gestion du personnel
- Anglais
- AWS
Postuler rapidement
Cloud Security Architect
Avaloq —Bioggio, TI
- 100%
- Travail hybride
- Niveau Master
- Technologies de l'information
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7 h

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Senior Cloud Engineer – Azure

Artificialy
Lugano, TI

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Détails de l'emploi

100% | Temps de travail : 90-100%
Il y a 1 heure

Qualifications

CI/CD
Git
Anglais
Niveau Master
Docker
Niveau Licence
Réseaux informatiques
GitHub
Production
GitLab
Compétences en communication
Allemand

Description complète du poste

Artificialy is 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 who will design and operate the 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.

What you’ll do:

Contribute to the migration and modernization of applications and services to Azure, ensuring reliability, scalability, security, and operational excellence.
Build and maintain cloud 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, including MLOps workflows and Azure AI services.
Work directly with clients (both remotely and in-person), combining strong technical expertise with excellent interpersonal skills.

Qualifications and Skills:

Bachelor’s or Master's degree in Computer Science, Data Science, Mathematics, Engineering, or equivalent.
5+ years of professional experience in cloud engineering, DevOps, infrastructure engineering, or related fields.
Strong hands-on experience with Microsoft Azure in production environments.
Experience building and maintaining CI/CD pipelines and deployment automation.
Experience designing and operating Azure landing zones, governance, and access models for production environments.
Knowledge of Azure networking, identity, security, governance, and monitoring services.
Experience with container technologies and orchestration tools (Docker, Azure Container Apps, or similar).
Familiarity with Git-based workflows (GitLab, GitHub, Bitbucket).
Strong communication, problem-solving, and collaboration skills.
Proficiency in English.

Nice to Have:

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

We offer:

Full-time permanent contract
Competitive compensation and growth opportunities
A stimulating scientific environment with an informal working atmosphere
Mentorship and continuous learning and close relationship with cutting-edge research teams

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