Senior Cloud And Ai Integration Engineer

GE Healthcare

Not specified
Cloud-native development
Microservices architecture
Software system design
Design, develop, and maintain scalable microservices‑based applications on a major cloud provider, ensuring availability, resiliency, scalability, performance, and observability

Job Summary

  • Design, develop, and maintain scalable microservices‑based applications on a major cloud provider, ensuring availability, resiliency, scalability, performance, and observability.
  • Implement Infrastructure as Code using tools such as Terraform, Pulumi, or native cloud frameworks and develop CI/CD pipelines for automated build, test, security scanning, and deployment.
  • Implement context providers, adapters, and orchestration layers for reliable interactions between applications and AI models, including guardrails, validation, monitoring, and safety measures.

Matching Summary

Design, develop, and maintain scalable microservices‑based applications on a major cloud provider, ensuring availability, resiliency, scalability, performance, and observability.

Skills & Requirements

Must-have

  • Cloud-native development
  • Microservices architecture
  • Software system design
  • DevOps practices
  • Generative AI concepts
  • Infrastructure as Code
  • CI/CD pipelines

Nice-to-have

  • Experience with DICOM
  • Healthcare systems experience
  • TypeScript-based UI components
  • Data Science fields experience
  • Medical technology domains

Key Requirements

  • 3+ years of experience building cloud-native applications
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
  • 2+ years of working experience with LLMs, RAG, and Agentic AI concepts
  • Hands-on experience with AWS, Azure, or GCP
  • Hands-on experience with Docker and Kubernetes
  • Hands-on experience with Terraform, Pulumi, or native cloud frameworks

Work Rights

Not specified

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