Evooq
Platform Engineer (or Site Reliability Engineer)(m/w/x)
Vollzeitmit HomeofficeKeine Angabe
Lausanne
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
VIVisium SA
Platform Engineer(m/w/x)
Lausanne
Vollzeitmit HomeofficeBerufserfahren
AI/ML
Nejo KI-Zusammenfassung
Designing and operating cloud infrastructure on Azure/AWS for agentic AI services and SaaS. Hands-on Azure experience required. Employee Stock Ownership Plan, flexible hybrid setup.
Anforderungen
- Backend engineering focus with infrastructure and platform expertise
- Strong backend systems engineering background with infrastructure and platform know-how
- Hands-on Azure experience (required)
- Proficient with Pulumi or Terraform for infrastructure as code (preferred)
- Strong Kubernetes experience: deployment, scaling, observability, reliability
- Solid understanding of cloud networking, IAM, and security best practices
- Experience building and maintaining CI/CD pipelines
- Comfortable with Python and scripting for automation
- Experience with observability tooling: Prometheus, Grafana, Datadog, or similar
- Autonomous, proactive, and serious about reliability
- Experience deploying software within customer cloud tenants or managed application patterns
- Familiarity with GxP, SOC 2, HIPAA, or regulated industry compliance
- Experience with multi-tenant SaaS infrastructure
- Pulumi experience specifically
Aufgaben
- Design and deploy cloud infrastructure
- Operate cloud infrastructure on Azure and AWS
- Build container orchestration environments
- Manage agentic AI services, data pipelines, and API backends
- Architect dual-deployment SaaS model
- Ensure secure, isolated deployments in customer cloud tenants
- Implement security controls and data residency requirements
- Enforce audit trail infrastructure for GxP and SOC 2
- Build and maintain CI/CD pipelines
- Set up and own observability systems
- Monitor, alert, log, and trace across environments
- Contribute to incident response
- Lead post-incident learning
- Build developer-friendly infrastructure abstractions
- Reduce friction and improve engineering velocity
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Abgeschlossene BerufsausbildungODER
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Azure
- AWS
- Pulumi
- Terraform
- Kubernetes
- Python
- Prometheus
- Grafana
- Datadog
Benefits
Attraktive Vergütung
- Employee Stock Ownership Plan
Flexibles Arbeiten
- Flexible working culture
- Hybrid setup with high trust, autonomy, and flexibility
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Visium SA erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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VIVisium SA
Platform Engineer(m/w/x)
Lausanne
Vollzeitmit HomeofficeBerufserfahren
AI/ML
Nejo KI-Zusammenfassung
Designing and operating cloud infrastructure on Azure/AWS for agentic AI services and SaaS. Hands-on Azure experience required. Employee Stock Ownership Plan, flexible hybrid setup.
Anforderungen
- Backend engineering focus with infrastructure and platform expertise
- Strong backend systems engineering background with infrastructure and platform know-how
- Hands-on Azure experience (required)
- Proficient with Pulumi or Terraform for infrastructure as code (preferred)
- Strong Kubernetes experience: deployment, scaling, observability, reliability
- Solid understanding of cloud networking, IAM, and security best practices
- Experience building and maintaining CI/CD pipelines
- Comfortable with Python and scripting for automation
- Experience with observability tooling: Prometheus, Grafana, Datadog, or similar
- Autonomous, proactive, and serious about reliability
- Experience deploying software within customer cloud tenants or managed application patterns
- Familiarity with GxP, SOC 2, HIPAA, or regulated industry compliance
- Experience with multi-tenant SaaS infrastructure
- Pulumi experience specifically
Aufgaben
- Design and deploy cloud infrastructure
- Operate cloud infrastructure on Azure and AWS
- Build container orchestration environments
- Manage agentic AI services, data pipelines, and API backends
- Architect dual-deployment SaaS model
- Ensure secure, isolated deployments in customer cloud tenants
- Implement security controls and data residency requirements
- Enforce audit trail infrastructure for GxP and SOC 2
- Build and maintain CI/CD pipelines
- Set up and own observability systems
- Monitor, alert, log, and trace across environments
- Contribute to incident response
- Lead post-incident learning
- Build developer-friendly infrastructure abstractions
- Reduce friction and improve engineering velocity
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Abgeschlossene BerufsausbildungODER
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Azure
- AWS
- Pulumi
- Terraform
- Kubernetes
- Python
- Prometheus
- Grafana
- Datadog
Benefits
Attraktive Vergütung
- Employee Stock Ownership Plan
Flexibles Arbeiten
- Flexible working culture
- Hybrid setup with high trust, autonomy, and flexibility
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Visium SA erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Visium SA
Branche
Pharmaceuticals
Beschreibung
Visium enables enterprise executives in defining AI & Data strategy, executing large scale transformations and implementing AI across operations to become future-proof.
Noch nicht perfekt?
- Evooq
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