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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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 1 - 4 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Azure
- AWS
- Pulumi
- Terraform
- Kubernetes
- Python
- Prometheus
- Grafana
- Datadog
Benefits
Competitive Pay
- Employee Stock Ownership Plan
Flexible Working
- 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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 1 - 4 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Azure
- AWS
- Pulumi
- Terraform
- Kubernetes
- Python
- Prometheus
- Grafana
- Datadog
Benefits
Competitive Pay
- Employee Stock Ownership Plan
Flexible Working
- Flexible working culture
- Hybrid setup with high trust, autonomy, and flexibility
About the Company
Visium SA
Industry
Pharmaceuticals
Description
Visium enables enterprise executives in defining AI & Data strategy, executing large scale transformations and implementing AI across operations to become future-proof.
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