Genome International Corp

Genome International Corp

Cloud Engineer - EKS, EC2, Azure

Lansing, Michigan, USA · Contract

Sponsorship not specifiedDetected 69 days ago
JavaBashNode.jsCode ReviewGitSQLPostgreSQLAWSAzureCloud PlatformsDockerKubernetesTerraformHelmCI/CDGitHub ActionsJenkinsLinuxNginxDatadogDevOpsIncident ResponseCommunicationCollaboration

About the role

  • Position Overview We are seeking a Senior Cloud Migration Architect to embed with our development team and lead the AWS platform configuration and CI/CD automation for a large-scale enterprise cloud migration program. The program covers 30+ applications across migration approaches such as Elastic Beanstalk, Amazon EKS, EC2/Cloud VM - to be delivered across
  • multiple sprints. The contractor will own the technical configuration of AWS services for each migration pattern, design and build Azure DevOps (ADO) pipelines that integrate with ArgoCD or Flux for GitOps-driven deployments to EKS, and partner closely with application teams, the AWS Infrastructure Team, and the DBA team to deliver production-ready

Responsibilities

  • Strong Azure DevOps Pipelines (YAML) experience - build pipelines, multi-stage release pipelines, variable groups, service connections, and self-hosted/Microsoft-hosted agents.
  • Docker build → ECR push → manifest/Helm chart update →
  • build → AMI bake or aws-deploy → blue/green or rolling release

Nice to have

  • The program covers 30+ applications across migration approaches such as Elastic Beanstalk, Amazon EKS, EC2/Cloud VM - to be delivered across multiple sprints.
  • This is a hands-on, deeply technical role for someone who can move fast, write production-grade IaC, debug across the stack, and mentor application developers and administrators on cloud-native patterns.
  • This is non-negotiable.
  • must produce clear runbooks, architecture diagrams, and
  • manifest/Helm chart update &rarr
  • AMI bake or aws-deploy &rarr
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This listing is sourced directly from Genome International Corp's careers page and normalized into a canonical job model.