✦ Luna Orbit — DevOps & SRE

DevOps AWS Opensearch/Elasticsearch & Containers Engineer Full time 💤 Coderslab.io Remote 3000 - 3500 USD/month Aug 26

at Getonbrd

Remote Posted March 16, 2026
Type Full-Time
Experience senior
Exp. Years 3+ years
Education Not specified
Category DevOps & SRE

This role involves designing, implementing, and optimizing cloud-based search and data solutions using AWS, Elasticsearch, and container orchestration technologies to support retail and e-commerce operations.

  • Design and optimize AWS solutions
  • Manage Elasticsearch clusters
  • Deploy and maintain containerized microservices
  • Develop data pipelines for analytics
  • Ensure system high availability

Focus on AWS cloud infrastructure, Elasticsearch, Kubernetes, Docker, data pipelines, and integration with SAP HANA and Retail Pro for scalable, high-performance systems.

The ideal candidate is a senior DevOps engineer with over 3 years of experience in AWS, Kubernetes, Docker, and cloud infrastructure, capable of designing and optimizing scalable solutions involving data pipelines and microservices.

AWSElasticSearchKubernetesDockerCloud solutionsData pipelines
SAP HANARetail ProECSEKSMicroservices
Amazon ECSAmazon EKSKubernetesDockerSAP HANARetail Pro
AWSAmazon Web ServicesOpenSearchElasticsearchContainersECSEKSKubernetesDockerData pipelinesLog processingMicroservicesCloud deploymentInfrastructure as CodeSAP HANARetail Pro
AWSAmazon Web ServicesOpenSearchElasticsearchContainersECSEKSKubernetesDockerData pipelinesLog processingMicroservicesCloud deploymentInfrastructure as CodeSAP HANARetail Pro
DesignImplementationOptimizationCollaborationProblem-solving
Industry Technology / SaaS
Job Function DevOps engineering for cloud-based search and data systems
Role Subtype DevOps & SRE
Tech Domains Amazon Web Services, Kubernetes, Docker, Active Directory
DevOps engineerAWSAmazon Web ServicesOpenSearchElasticsearchContainersECSEKSKubernetesDockerData pipelinesLog processingMicroservicesCloud deploymentInfrastructure as Codedevops engineerawsamazon web serviceselasticsearchkubernetesdockercloud solutionsdata pipelinesmicroservicesinfrastructure as code

Lack of experience with AWS or Kubernetes, No experience in cloud infrastructure or DevOps

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