Software Engineer (Platform & Integrations)

Moonlight Ai GmbH

Basel

Hybrid

CHF 120.000 - 180.000

Vollzeit

vor 9 Stunden
Sei unter den ersten Bewerbenden
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Zusammenfassung

Moonlight Ai GmbH is seeking a founding Software Engineer (Platform & Clinical Integrations) to build the core infrastructure and integration layer of our AI diagnostics platform. The role spans backend, infrastructure, and frontend work, ensuring secure, reliable operation within diagnostic workflows.

You will shape deployment, operation, and trust in clinical environments with a high-ownership approach, on-site in Basel (preferred) or Berlin, with compensation aligned to local market standards.

Qualifikationen

  • 4+ years in Platform Engineering, SWE, or Infrastructure roles.
  • Strong experience with cloud infrastructure (AWS or GCP) and Kubernetes.
  • Proven experience with Infrastructure-as-Code (Terraform, Pulumi, or similar).
  • Experience building production backend systems (Python, Go, Java, etc.) and frontends (React / TypeScript).
  • Experience with CI/CD, observability, and distributed systems.
  • Background in regulated or high-reliability environments (healthcare, fintech, SaMD).
  • Work permit valid in Switzerland or EU

Aufgaben

  • Architect and maintain scalable cloud infrastructure using Infrastructure-as-Code.
  • Design and operate CI/CD systems for safe, auditable deployments across environments.
  • Build backend services and APIs supporting clinical workflows and platform functionality.
  • Develop integrations with Laboratory Information Systems (LIS) using HL7 / FHIR standards.
  • Build internal tools and lightweight frontend applications for clinical and operational users.
  • Implement security, observability, and compliance controls (ISO 27001, HIPAA, GDPR).
  • Ensure system reliability, auditability, and traceability across all components

Kenntnisse

Platform engineering
Cloud infrastructure
Kubernetes
CI/CD
Backend development
Frontend development
Infrastructure as Code
Regulated environments

Tools

Terraform
Pulumi
AWS
GCP
React
TypeScript
Python
Go
Java

Jobbeschreibung

The founding Software Engineer (Platform & Clinical Integrations) will build the core infrastructure and clinical integration layer of our AI diagnostics platform. You will work across backend systems, infrastructure, and frontend interfaces for a secure, reliable platform that integrates into diagnostic workflows.

This is a high-ownership role shaping how AI systems are deployed, operated, and trusted in clinical environments. The role is on-site in either Basel, Switzerland (preferred) or Berlin, Germany, with compensation aligned to local market standards.

Responsibilities
  • Architect and maintain scalable cloud infrastructure using Infrastructure-as-Code
  • Design and operate CI/CD systems for safe, auditable deployments across environments
  • Build backend services and APIs supporting clinical workflows and platform functionality
  • Develop integrations with Laboratory Information Systems (LIS) using healthcare standards (HL7 / FHIR)
  • Build internal tools and lightweight frontend applications for clinical and operational users
  • Implement security, observability, and compliance controls (ISO 27001, HIPAA, GDPR) across an international network of laboratories
  • Ensure system reliability, auditability, and traceability across all platform components
Requirements
  • 4+ years in Platform Engineering, SWE, or Infrastructure roles
  • Strong experience with cloud infrastructure (AWS or GCP) and Kubernetes
  • Proven experience with Infrastructure-as-Code (Terraform, Pulumi, or similar)
  • Experience building production backend systems (Python, Go, Java, etc.) and frontends (React / TypeScript)
  • Experience with CI/CD, observability, and distributed systems
  • Background in regulated or high-reliability environments (healthcare, fintech, SaMD)
  • Work permit valid in Switzerland or EU
Strong Plus
  • Experience with LIS integration or healthcare interoperability (HL7 / FHIR / DICOM)
  • Experience building systems with auditability or regulatory constraints
  • Exposure to clinical or diagnostic workflows
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