19 meilleures offres (devops engineer cloud devops platforms) (à pourvoir)

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- 100%
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- Java
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- Caisse de pension
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- AWS
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- 100%
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- 100%
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- 100%
- Gestion du personnel
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- AWS
Postuler rapidement
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Mirantis —Zürich, ZH
- 100%
- Télétravail
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- AWS
Postuler rapidement
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Nexthink —Lausanne, VD
- 100%
- Travail hybride
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- 100%
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IntelliH —Saas, GR
- Développement logiciel
Senior Project Manager, Delivery
Blockstream —Zürich, ZH
- 100%
- Gestion du personnel
- PMP
- Anglais
Postuler rapidement
Test Architect (80–100%)
Lombard Odier & Cie —Genève, GE
- 100%
- Informatique
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GitGuardian —Genève, GE
- Heures supplémentaires
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Dentsu —Zürich, ZH
- 100%
- Télétravail
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- Java
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- Programme de recommandation
Senior Java Developer (Distributed Financial Systems) 80 - 100% (f/m/d) - (Contract through our external payroll partner with immediate start for 12 months with possible extension)
Julius Baer —Zürich, ZH
- Java
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Platform Engineer (Kubernetes & Infrastructure) 80–100%
Prime21 AG —Suisse
- 100%
- Télétravail
- Anglais
- Bases de données
- Linux
GenAI & Machine Learning Engineer
Ethinc —Lausanne, VD
- Travail hybride
- Anglais
- Niveau Master
- Bases de données
Postuler rapidement
1 h

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Cloud Architect

Abbott Laboratories -
Bâle, BS

Soumettre votre candidature

Détails de l'emploi

100% | Temps de travail : 90-100%

Qualifications

Anglais
Niveau Master
AWS
Docker
Niveau Licence
Terraform
S3
Compétences en communication

Description complète du poste

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries.

Abbott Established Pharmaceutical Division (EPD) is looking for a

Cloud Architect

for its global Pharma Division Headquarter based in Allschwil- Basel.

Primary Job Function:

The AA team is on a mission to reshape the entire EPD division around data-driven decision-making. The Cloud Architect collaborates closely with our Data Science team and our product delivery team to make sure that the applications we deploy are built on scalable and robust technology stack. These solutions directly transform the way we produce market and sell our products around the world.

This role focuses on designing and implementing cloud architectures that run AI/GenAI applications in a scalable way across multiple platforms (mobile, web etc..) used by our stakeholders around the world. You help our Engineering team to streamline or automate cloud infrastructure deployment, to enable other development teams to develop and deploy faster focusing on the application core.

Core Job Responsibilities:

Cloud Solution Architecture:

Design and build, and maintain cloud architectures for scalable, robust AI/GenAI applications across platforms (web, mobile, desktop).
Leverage cloud-native services to ensure optimal performance, availability, security, and cost efficiency.
Monitor and optimize cloud infrastructure for latency, throughput, and cost efficiency, leveraging cloud-native monitoring and alerting tools.
Design and implement load balancing, auto-scaling, and failover strategies to guarantee high availability across all deployed applications.
Document reference architectures, technical roadmaps, and conduct design reviews with engineering and product teams.

Infrastructure as Code & Automation:

Develop and maintain infrastructure as code (IaC) frameworks and automated workflows, making cloud deployment accessible to developers regardless of IaC expertise.
Implement robust monitoring, security guardrails, and compliance checks to ensure infrastructure changes are safe, reliable, and aligned with production standards.

Security, Compliance, and Reliability:

Champion secure cloud designs, ensuring compliance with data privacy, security, and regulatory requirements in coordination with our security team.
Establish observability, monitoring and disaster recovery mechanisms for all AI/GenAI workloads.

Preferred Qualifications:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.
8+ years of experience architecting and delivering cloud-native applications, including at least 3 years specializing in AI/ML or GenAI workloads.
Demonstrated experience with monitoring, optimizing, and troubleshooting cloud infrastructure for performance, reliability, and cost-efficiency using modern observability tools (e.g., CloudWatch, Prometheus, Datadog).
Expertise in AWS cloud services (e.g., ECS, EKS, Lambda, SageMaker, S3, IAM, VPC, Cognito, Step Functions, CloudWatch)
Proficiency in Infrastructure as Code (Terraform, CloudFormation, OpenTofu) and modern DevOps practices (CI/CD, OPA, containerization with Docker/Kubernetes).
AWS Certification (Solutions Architect, DevOps Engineer etc..) a plus.
Full stack experience a plus.
Experience supporting global deployments of multi-platform applications (web, mobile, desktop) across geographies (CDN).
Proven communication skills. Fluency in English a must.
Passion for transforming organizations through large scale data

Do you like the sound of this job and think you’ve got what it takes? Then send us your CV today. We look forward to receiving your application as pdf.

(If you want to upload several documents, don`t save in between uploading them to be able to do so. Once you save your uploads, you will not be able to add more documents)

Soumettre votre candidature

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