A company is looking for an Elastic Stack Engineer specializing in AI Tooling and Automation.
Key Responsibilities
Design and deploy scalable Elastic Stack solutions, including Elastic Cloud implementations
Manage Elastic Stack components in containerized environments and optimize performance on Linux VMs
Integrate AI tools into development workflows and collaborate with teams on data strategies
Required Qualifications
4-6 years of hands-on experience with the full Elastic Stack (Elasticsearch, Logstash, Kibana, Beats)
Experience with Elastic Cloud deployment and lifecycle management
Proficiency in container technologies (Docker, Kubernetes)
Strong Linux VM administration and deployment skills
Familiarity with CI / CD pipelines and infrastructure automation tools (e.g., Ansible, Terraform)
Elastic Engineer • Minneapolis, Minnesota, United States