✦ Luna Orbit — Cloud & Infrastructure

Cloud Platform and DevOps Engineer

at S&P Global

📍 Michigan, US Hybrid 💰 $90K – $140K USD / year Posted March 13, 2026
Salary $90K – $140K USD / year
Type Not Specified
Experience mid
Exp. Years 3+ years
Education Bachelor's degree in Computer Science, Engineering, or a related technical field
Category Cloud & Infrastructure

This role involves designing, building, and supporting cloud platforms using AWS and related technologies. The engineer will focus on automation, scalability, and operational excellence for large-scale data environments.

  • Architect and support cloud platforms
  • Design scalable data processing solutions
  • Implement infrastructure-as-code
  • Ensure platform reliability and performance
  • Collaborate on cloud modernization

Environment includes AWS cloud native services, infrastructure-as-code tools like Terraform and CloudFormation, CI/CD pipelines, and monitoring solutions. The stack emphasizes automation, cloud architecture, and data workflows.

The ideal candidate is a mid-level cloud engineer with 3+ years of experience in AWS cloud architecture, infrastructure automation, and large-scale data processing. They should be proficient in DevOps practices and cloud-native solutions to support scalable, reliable platforms.

AWScloud native technologiesinfrastructure-as-codeDevOpslarge-scale data workflows
AzureGoogle Cloud PlatformTerraformCloudFormationmonitoring toolsdisaster recovery planning
AWSTerraformCloudFormationJenkinsGitMonitoring tools
AWScloud native technologiesinfrastructure-as-codeTerraformCloudFormationDevOpsdata processingmonitoringdisaster recoveryCI/CD pipelinesautomation
AWSAmazon Web Servicescloud native technologiesinfrastructure-as-codeTerraformCloudFormationcloud architectureDevOpsdata processingmonitoringdisaster recoveryincident resolutionCI/CD pipelinesautomationlarge-scale data workflows
collaborationproblem-solvingcommunicationteamworkadaptabilityinitiative
Industry SaaS, Cloud Computing, Data & Analytics
Job Function Cloud platform engineering and DevOps support for large-scale data environments
AWSAmazon Web Servicescloud native technologiesinfrastructure-as-codeTerraformCloudFormationDevOpslarge-scale data workflowsmonitoringdisaster recoveryCI/CD pipelinesautomationcloud architectureincident resolutionsupport

Lack of AWS experience, No infrastructure-as-code skills, No cloud native or DevOps experience, Location outside Michigan or Mexico without remote flexibility

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