AI-Driven Cloud Migration Engineer

Agfa-Gevaert

United States

Hybrid

USD 130,000 - 170,000

Full time

14 days+

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Benefits offered by this job

Competitive salary
Global team
Career development

Job summary

Agfa HealthCare is seeking a Software Development Engineer – AI Test Automation & Cloud Migration to build AI-enabled testing for enterprise imaging migration tools and AWS cloud integration.

You will create frameworks, automate tests, validate migration outcomes, and collaborate across engineering teams to reduce manual testing while expanding AI capabilities in testing and integration with third-party healthcare systems.

Qualifications

  • Degree in computer science or related field, or equivalent experience.
  • Experience building test automation frameworks with Playwright, JUnit, REST Assured, or equivalent.
  • Proficiency with Jenkins, Git, APIs, databases, and CI/CD pipelines.
  • Knowledge of LLMs, AI agents, tool calling, and AI-assisted software engineering.
  • Experience with AWS and cloud migrations is a plus.

Responsibilities

  • Architect and develop a reusable AI-enabled test automation framework.
  • Automate functional, integration, regression, and end-to-end testing of migration tools and features.
  • Validate migration outcomes for data integrity and post-migration behavior.
  • Build AI capabilities for test generation, evidence analysis, and defect investigation.
  • Integrate automated testing into Git- and Jenkins-based CI/CD workflows.
  • Collaborate with Migration and Integration Engineering Teams to reduce repetitive testing.

Skills

AI test automation
Cloud migration
AWS
CI/CD
Playwright
Jenkins
Git
LLMs

Education

Bachelor’s or Master’s in Computer Science

Tools

Jenkins
Git
REST APIs
Docker
Kubernetes

Job description

Agfa HealthCare is seeking a Software Development Engineer – AI Test Automation & Cloud Migration to build AI-enabled testing for enterprise imaging migration tools and AWS cloud integration.

You will create frameworks, automate tests, validate migration outcomes, and collaborate across engineering teams to reduce manual testing while expanding AI capabilities in testing and integration with third-party healthcare systems.

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