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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
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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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