Posted:3 months ago|
Platform:
Work from Office
Full Time
We are seeking a skilled BDD Automation Tester with expertise in the healthcare domain to join our dynamic data platform team. The ideal candidate will have a strong background in Behavior-Driven Development (BDD) and experience in writing automation for event streaming data pipelines. GE HealthCare is a leading global medical technology and digital solutions innovator. Our purpose is to create a world where healthcare has no limits. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world. Responsibilities: Develop and execute BDD (Behavior Driven Development) test scenarios using Cucumber. Collaborate with cross-functional teams to understand requirements and translate them into test cases. Ensure comprehensive test coverage for healthcare domain applications. Perform performance testing using JMeter. Work with event streaming architectures to validate data flows and integrations. Utilize AWS and Kubernetes for deploying and managing test environments. Facilitate on-prem to cloud communication testing. Test microservices and ensure their reliability and performance. Develop test cases and conduct testing on our observability and monitoring framework Requirements: Bachelor s degree in Computer Science, Engineering . 6+ Years of proven experience in BDD and writing test scenarios using Cucumber. 2+ Years Strong understanding of the healthcare domain and related applications. 2+ Years Experience with event streaming architectures - Preferably with Kafka 1+ Years Hands on experience in AWS and Kubernetes. Knowledge of on-prem to cloud communication. Expertise in performance testing with JMeter. Strong programming skills in Java. Experience with microservices architecture. Experience in any observability & Monitoring framework Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred Qualifications: Certification in AWS or Kubernetes. Familiarity with CI/CD pipelines
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