✦ Luna Orbit — DevOps & SRE

Experienced Data & AI Platform Cloud DevOps / DataOps Engineer

at Boeing

📍 USA - Seattle, WA Unknown Posted March 26, 2026
Type Not Specified
Experience mid
Exp. Years 3+ years
Education Bachelor's degree or higher in a technical field
Category DevOps & SRE

This role involves building and maintaining cloud infrastructure, supporting AI/ML data pipelines, and implementing DevOps practices in a cloud environment, primarily using Azure and Databricks.

  • Build cloud environments
  • Support AI/ML data pipelines
  • Implement CI/CD
  • Monitor system health
  • Collaborate with data teams

The technical environment includes Azure cloud services, Databricks, CI/CD tools like Jenkins, Terraform for infrastructure as code, and DataOps practices for managing data pipelines and system health.

The ideal candidate is a mid-level cloud engineer with 3+ years of experience in cloud deployment, supporting AI/ML teams, and working with Azure and Databricks platforms. They should be skilled in CI/CD, infrastructure as code, and cloud automation.

Cloud deployment experienceExperience with CI/CD toolsExperience supporting AI/ML teamsAzure Cloud experienceDevelopment and deployment skills
Databricks UnityAzure Data FactoryAzure Data LakeKnowledge of Data MeshExperience with DataOps
AzureDatabricksJenkinsGitlabTerraform
AzureMicrosoft AzureCloud DeploymentDevOpsData PipelinesDatabricksCI/CDJenkinsTerraformAutomationInfrastructure as CodeMonitoringSecurityData MeshAzure Data LakeAzure Data FactoryKnowledge GraphsDataOps
AzureMicrosoft AzureCloud DeploymentDevOpsData PipelinesDatabricksAzure Cloud PlatformCI/CDGitlabJenkinsAutomationInfrastructure as CodeTerraformMonitoringSecurityKnowledge GraphsData MeshBlob StorageVersion Control
CommunicationTeamworkProblem-solvingCollaborationLearningTechnical Support
Industry Aerospace
Job Function Cloud infrastructure and DevOps support for AI/ML projects
Role Subtype Cloud DevOps Engineer
Tech Domains Azure, Databricks, Jenkins, Terraform
AzureMicrosoft AzureCloud DeploymentDevOpsData PipelinesDatabricksCI/CDJenkinsGitlabTerraformAutomationInfrastructure as CodeMonitoringSecurityData MeshAzure Data FactoryAzure Data LakeKnowledge GraphsDataOpsCloud deploymentData pipelines

Less than 3 years of experience in cloud engineering, No experience with Azure or Databricks, Lack of CI/CD or automation skills, No supporting AI/ML teams

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