Senior Cloud And Ai Integration Engineer

GEHC

Not specified
Cloud-native development
Microservices architecture
Devops practices
Design, develop, and maintain scalable microservices-based applications on a major cloud provider

Job Summary

  • Design, develop, and maintain scalable microservices-based applications on a major cloud provider.
  • Implement context providers, adapters, and orchestration layers that enable reliable interactions between applications and AI models.
  • Collaborate effectively with frontend engineers and understand how backend services integrate with TypeScript-based UI components.

Matching Summary

Design, develop, and maintain scalable microservices-based applications on a major cloud provider.

Skills & Requirements

Must-have

  • cloud-native development
  • microservices architecture
  • DevOps practices
  • Generative AI concepts
  • LLMs, RAG, Agentic AI
  • Infrastructure as Code
  • CI/CD pipelines

Nice-to-have

  • experience with DICOM
  • healthcare systems experience
  • Data Science fields
  • medical technology domains

Key Requirements

  • 3+ years of experience building cloud-native applications
  • Hands-on experience with cloud platforms (AWS, Azure, GCP)
  • Hands-on experience with Docker and Kubernetes
  • Hands-on experience with CI/CD pipelines
  • Hands-on experience with Infrastructure as Code
  • Working knowledge of LLMs, RAG, and Agentic AI concepts (2+ years)
  • Working knowledge of AI-based workflow integration (2+ years)

Work Rights

Not specified

Tailored Resume

Cover Letter