• Location: Fully Remote
• Type: Contract
• Job #26484

Company Overview:
A leading financial services company with a nationwide presence is seeking a Lead Platform Engineer to enhance their Elastic Stack administration. This role focuses on ensuring the reliability, performance, and security of Elastic environments across cloud and on-premises infrastructure.

Job Responsibilities:

• Administer, monitor, maintain, and troubleshoot Elasticsearch, Logstash, Kibana, and associated Elastic Stack components.
• Maintain highly available, secure, and resilient multi-node Elasticsearch clusters across cloud and on-premises environments.
• Diagnose and resolve issues related to cluster stability, data integrity, ingestion failures, query performance, resource utilization, and platform availability.
• Perform Elasticsearch and Elastic Stack upgrades, patching, configuration changes, and backward-compatible migrations with minimal service disruption.
• Design and deploy scalable Elastic Stack solutions for centralized logging, application search, infrastructure monitoring, security analytics, and metrics use cases.
• Develop solutions that balance performance, reliability, scalability, security, operational complexity, and cost.
• Establish and maintain service-level objectives, availability targets, performance thresholds, and reliability metrics for Elastic platforms.
• Develop and maintain Infrastructure as Code using technologies such as Terraform and Ansible.
• Automate cluster deployment, configuration management, upgrades, validation, monitoring, access provisioning, and routine administrative activities.
• Serve as the primary technical resource and subject-matter expert for Elasticsearch and the broader Elastic Stack.

Qualifications:

• Demonstrated experience administering production Elasticsearch and Elastic Stack environments.
• Strong knowledge of Elasticsearch cluster architecture, node roles, shards, replicas, mappings, templates, aliases, data streams, and index lifecycle management.
• Experience configuring and supporting Logstash, Kibana, ingest pipelines, Beats, Elastic Agent, or similar data-ingestion technologies.
• Experience monitoring, troubleshooting, and tuning Elasticsearch cluster, indexing, search, and ingestion performance.
• Hands-on experience with Infrastructure as Code and configuration-management technologies such as Terraform and Ansible.
• Experience developing automation using Python, Bash, APIs, or comparable scripting tools.
• Experience with CI/CD pipelines, source control, automated testing, and iterative delivery practices.
• Advanced hands-on experience administering production ELK/Elastic Stack environments, including Elasticsearch, Logstash, and Kibana.
• Experience supporting Elastic platforms in cloud, on-premises, or hybrid infrastructure environments.

Compensation:
Pay Rate: $85 – $85/hr, DOE