✦ Luna Orbit — DevOps & SRE

Senior DevOps Engineer

at Advanced Micro Devices

📍 Austin, Texas, United States Hybrid Posted April 16, 2026
Type Not Specified
Experience senior
Exp. Years Not stated
Education Not specified
Category DevOps & SRE

Design, build, and maintain CI/CD pipelines and cloud infrastructure automation for software delivery across cloud and hybrid environments. Operate Kubernetes-based systems with strong monitoring and self-healing, while following DevSecOps best practices in an Agile, test-driven workflow.

  • Design, build, and maintain CI/CD pipelines
  • Implement Infrastructure as Code (IaC) with Terraform, Helm, or Pulumi
  • Deploy and manage containerized workloads on Kubernetes (EKS, GKE, AKS, or OpenShift)
  • Implement monitoring, alerting, and self-healing with Prometheus, Grafana, or CloudWatch
  • Enforce DevSecOps best practices in an Agile, test-driven workflow

You will implement Infrastructure as Code using Terraform/Helm/Pulumi, deploy containerized workloads on Kubernetes (EKS, GKE, AKS, OpenShift), and manage cluster and node pools. You will also build monitoring/alerting with Prometheus, Grafana, and CloudWatch and run infrastructure across AWS, GCP, or Azure with reliability, cost optimization, and security focus.

The ideal candidate is a senior DevOps Engineer experienced in designing and operating CI/CD pipelines and building Infrastructure as Code solutions with Terraform, Helm, and/or Pulumi. They have hands-on Kubernetes experience across cloud platforms (EKS, GKE, AKS, or OpenShift), strong monitoring/alerting and self-healing, and a DevSecOps mindset in an Agile, test-driven environment.

Designbuildand maintain CI/CD pipelinesInfrastructure as Code (IaC) tools such as TerraformHelmor PulumiDeploy and manage containerized workloads on Kubernetes clusters (EKSGKEAKSor OpenShift)cloud infrastructure monitoringalertingand self-healing mechanisms using tools like PrometheusGrafanaor CloudWatchManage cloud infrastructure across one or more providers (AWSGCPAzure)Perform code and infrastructure reviews; enforce DevSecOps best practicesWork in an Agiletest-driven model with a bias toward automation and observability
Strong scripting and automation skills in PythonShelland/or GoGroovy for pipeline-as-code (Jenkinsfile)Hands-on expertise with container ecosystems: DockercontainerdKubernetesand HelmDeep experience with at least one cloud platform: AWS (EKSEC2S3IAMVPC)GCP
CI/CD pipelinesTerraformHelmPulumiKubernetesAmazon Elastic Kubernetes Service (EKS)Google Kubernetes Engine (GKE)Azure Kubernetes Service (AKS)OpenShiftPrometheusGrafanaCloudWatchAmazon Simple Storage Service (s3)Identity and Access Management (IAM)Virtual Private Cloud (VPC)Amazon CloudFrontAmazon Relational Database Service (RDS)ClickHouseAWS (Amazon Web Services)Google Cloud Platform (GCP)AzureDockercontainerdGitOpsJenkinsfileGroovyPythonShellGoLinux
CI/CD pipelinescontinuous integration and deliveryInfrastructure as Code (IaC)TerraformHelmPulumiKubernetesEKSGKEAKSOpenShiftcontainerized workloadsnodepoolsreplica setsPrometheusGrafanaCloudWatchAWSGCPAzureIAMVPCCloudFrontRDSClickHouseDevSecOpsGitOpsAgiletest-drivenautomationobservabilityrunbooks
CI/CD pipelinescontinuous integration and deliverycloud and hybrid environmentsInfrastructure as Code (IaC)TerraformHelmPulumiKubernetesKubernetes clustersEKSAmazon Elastic Kubernetes ServiceGKEGoogle Kubernetes EngineAKSAzure Kubernetes ServiceOpenShiftcontainerized workloadscluster & node managementaks/eksnodepoolsreplica setscloud best practicess3Amazon Simple Storage ServiceIAMIdentity and Access ManagementVPCVirtual Private CloudCloudfrontsAmazon CloudFrontRDSRelational Database ServiceClickhouseClickHousecloud infrastructure monitoringalertingself-healing mechanismsPrometheusGrafanaCloudWatchAWSAmazon Web ServicesGCPGoogle Cloud PlatformAzureGitOpsbranching strategiescode promotion workflowsDevSecOpsAgiletest-drivenLinux-based containerized ecosystemsDockercontainerdGitHub (implied by Git practices not specified)Jenkinsfilepipeline-as-codePythonShellGoGroovyGroovy for pipeline-as-code (Jenkinsfile)code and infrastructure reviewstechnical runbooksarchitecture documentationuser guides
leadership skillsdrive sophisticated issues to resolutioneffective communicationwork optimally with different teams across AMDcollaborationAgile mindsetbias toward automation and observabilitydocumentation
Industry SaaS
Job Function DevOps engineering for CI/CD automation and Kubernetes/cloud reliability
Role Subtype CI/CD Engineer
Tech Domains Kubernetes, Linux, Python
Senior DevOps EngineerDevOps EngineerCI/CD pipelinescontinuous integration and deliveryInfrastructure as CodeIaCTerraformHelmPulumiKubernetes clustersKubernetesEKSAmazon Elastic Kubernetes ServiceGKEGoogle Kubernetes EngineAKSAzure Kubernetes ServiceOpenShiftcontainerized workloadsnodepoolsreplica setsAWSAmazon Web ServicesGCPGoogle Cloud PlatformAzureIAMIdentity and Access ManagementVPCVirtual Private CloudCloudWatchPrometheusGrafanaRDSRelational Database ServiceClickhouseClickHouseDevSecOpsGitOpsAgiletest-drivenInfrastructure as Code (IaC)

Must have experience designing and maintaining CI/CD pipelines, Must have Kubernetes cluster deployment/management experience (EKS, GKE, AKS, or OpenShift), Must have Infrastructure as Code experience with Terraform, Helm, or Pulumi

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