Dein persönlicher KI-Karriere-Agent
Platform Engineer(m/w/x)
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
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Platform Engineer(m/w/x)
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
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?
- Isomorphic Labs
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Platform Engineer (or Site Reliability Engineer)(m/w/x)
Vollzeitmit HomeofficeKeine AngabeLausanne - Visium SA
Lead AI Engineer (Agentic AI)(m/w/x)
Vollzeitmit HomeofficeSeniorLausanne - Isomorphic Labs
Senior Security Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorLausanne - Nexthink
Principal/Staff Backend Software Engineer(m/w/x)
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