✦ Luna Orbit — DevOps & SRE

DevOps Engineer - AI Assistant & Shared App Infrastructure

at Adobe

📍 San Jose Unknown 💰 $139K – $257K USD / year Posted March 13, 2026
Salary $139K – $257K USD / year
Type Not Specified
Experience mid
Exp. Years 5+ years
Education Not specified
Category DevOps & SRE

Seeking a DevOps Engineer to develop and maintain scalable cloud infrastructure supporting AI applications across Adobe Experience Cloud.

  • Architect and maintain CI/CD pipelines
  • Design cloud infrastructure
  • Automate deployment and incident response
  • Collaborate with engineering teams
  • Implement infrastructure-as-code

Role involves designing CI/CD pipelines, managing cloud infrastructure (Azure, AWS, GCP), container orchestration with Kubernetes and Docker, scripting automation, and ensuring security and monitoring.

The ideal candidate is a mid-level DevOps engineer with over 5 years of experience in cloud infrastructure, automation, and container orchestration. They possess strong scripting skills and experience supporting AI/ML workloads, ensuring scalable and secure cloud operations.

5+ years of DevOpsSite Reliability Engineeringor Cloud Infrastructure experiencecloud platforms (AzureAWSGCP)container orchestration (KubernetesDocker)building and maintaining CI/CD pipelinesscripting skills (PythonBashPowerShell)
supporting AI/ML workloadsmonitoringloggingalerting toolssecuritycomplianceprivacy in cloud environments
AzureAWSGCPKubernetesDockerGitHub ActionsJenkinsAzure DevOpsDatadogPrometheusELK
DevOpsCI/CD pipelinesGitHub ActionsJenkinsAzure DevOpsAzureAWSGCPKubernetesDockerPythonBashPowerShellInfrastructure-as-codeDatadogPrometheusELK
CI/CD pipelinesGitHub ActionsJenkinsAzure DevOpsAzureAmazon Web ServicesAWSGCPGoogle Cloud PlatformKubernetesDockerPythonBashPowerShellInfrastructure-as-codeSecurity and privacy standardsMonitoring toolsDatadogPrometheusELK
collaborationcommunicationproblem-solvingteamworkcontinuous improvement
Industry SaaS, Cloud & Infrastructure, AI & Machine Learning
Job Function Cloud infrastructure automation and management for AI-powered applications
DevOpsSite Reliability EngineeringCI/CD pipelinesGitHub ActionsJenkinsAzure DevOpsAzureAWSGCPKubernetesDockerPythonBashPowerShellInfrastructure-as-codeDatadogPrometheusELKMonitoring tools

Less than 5 years of relevant experience, Lack of cloud platform expertise (Azure, AWS, GCP), No experience with Kubernetes or Docker

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