✦ Luna Orbit — Cloud & Infrastructure

Sr. Cloud Automation Engineer

at Johnson & Johnson

📍 Raritan, New Jersey, United States of America Hybrid 💰 $117K – $202K USD / year Posted March 14, 2026
Salary $117K – $202K USD / year
Type Not Specified
Experience senior
Exp. Years 5+ years
Education Not specified
Category Cloud & Infrastructure

Johnson & Johnson seeks a senior cloud automation engineer to lead cloud infrastructure automation efforts across multiple cloud platforms, focusing on healthcare solutions and scalable cloud architectures.

  • Design and implement cloud automation solutions
  • Lead cloud infrastructure automation projects
  • Support healthcare cloud platforms
  • Collaborate with cross-functional teams
  • Ensure security and compliance in cloud automation

Expertise in AWS, Azure, GCP, microservices, RESTful APIs, Kubernetes, Docker, scripting, cloud automation, healthcare cloud solutions.

The ideal candidate is a senior cloud automation engineer with extensive experience in AWS, Azure, and GCP, skilled in microservices, RESTful APIs, and containerization technologies like Kubernetes and Docker. They should have a strong background in automating cloud infrastructure and supporting healthcare-related cloud solutions.

Cloud AutomationAWSAzureMicroservicesRESTful APIs
GCPKubernetesDockerAutomationScripting
AWSAzureGoogle Cloud PlatformKubernetesDocker
Cloud AutomationAWSAmazon Web ServicesAzureGoogle Cloud PlatformMicroservicesRESTful APIsKubernetesDockerAutomation
Cloud AutomationAWSAzureGoogle Cloud PlatformMicroservicesRESTful APIsKubernetesDockerAutomationScripting
LeadershipCollaborationProblem-solvingStrategic ThinkingCommunication
Industry Healthcare & Medical
Job Function Automating and managing cloud infrastructure for healthcare applications
Role Subtype Cloud Engineer
Tech Domains Amazon Web Services, Microsoft 365, Azure, Google Cloud Platform, Kubernetes, Docker
cloud automationAWSAmazon Web ServicesAzureGoogle Cloud PlatformMicroservicesRESTful APIsKubernetesDockerScriptingCloud engineeringDevOpsAutomationCloud platformHybrid cloudCloud infrastructuremicroservicesautomation

Lack of experience with AWS, Azure, or GCP, No experience with microservices or RESTful APIs, Limited knowledge of containerization (Kubernetes, Docker)

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