Description

Senior Elasticsearch Automation Engineer based in Atlanta, GA.

Responsibilities

• Design and implement ELK stack solutions, including Elasticsearch, Logstash, and Kibana, within cloud environments.
• Build and manage scalable, distributed enterprise systems and production-ready Elasticsearch clusters on-prem and on Kubernetes.
• Develop CI/CD pipelines using Jenkins, Azure DevOps, and ArgoCD to enable self-service tools and GitOps workflows.
• Deploy and configure Elastic beats, agents, and ingest pipelines with deep knowledge of ingest processors.
• Maintain and troubleshoot Kubernetes clusters using AKS.

Required Skills

• 5+ years of hands-on experience building and managing Elasticsearch clusters.
• Expertise in Elastic Cloud Enterprise (ECE) and Elastic Cloud for Kubernetes (ECK).
• Proficiency with Azure Kubernetes Service (AKS) and containerization technologies.
• Strong scripting and automation skills in Python, Bash, and Painless.
• Experience with GitOps, Helm, Ansible, Chef, and Terraform.
• Practical knowledge of Azure DevOps, Jenkins, and ArgoCD.
• Understanding of REST, SOAP, OAuth, and SAML concepts.
• Experience with configuration management and infrastructure as code.
• Bachelor's degree in Computer Science, Information Technology, or a related field.

Key Skills

Education

Any Graduate