Elastic Platform Engineer (Designated Engineer DE)

Job Title: Elastic Platform Engineer (Designated Engineer DE)
Duration: 6+ Months
Location: Remote

We are seeking an experienced Elastic Platform Engineer (DE) to provide hands-on technical expertise and engineering support for Elastic platform initiatives. Focused on implementing, optimizing, and supporting scalable Elastic solutions within the customer s environment.

The DE will work closely with engineering, operations, and leadership teams to build, maintain, and enhance Elastic deployments, ensuring performance, reliability, and alignment with enterprise requirements.

Key Responsibilities

• Implement and support Elastic Stack solutions across development, staging, and production environments
• Assist in the execution of technical designs and platform roadmaps defined by architecture and leadership teams
• Configure, deploy, and maintain Elastic components (Elasticsearch, Logstash, Kibana, Beats, etc.)
• Perform performance tuning, capacity planning, and scalability improvements for Elastic clusters
• Troubleshoot and resolve platform issues, including participating in support escalations and root cause analysis
• Develop and maintain dashboards, visualizations, and data pipelines for observability, SIEM, and analytics use cases
• Collaborate with cross-functional teams to support integrations, data ingestion, and system interoperability
• Ensure platform reliability, monitoring, and operational best practices are followed
• Document configurations, procedures, and operational runbooks
• Contribute to automation efforts (scripting, CI/CD, infrastructure as code where applicable)

Required Qualifications

• 5+ years of experience in platform engineering, systems engineering, or similar hands-on roles
• Strong hands-on experience with the Elastic Stack (Elasticsearch, Logstash, Kibana, Beats, Elastic Security, Observability)
• Experience supporting distributed systems, logging, monitoring, and large-scale data environments
• Proven ability to troubleshoot, optimize, and maintain production systems
• Experience with system performance tuning and high availability environments
• Strong problem-solving skills and ability to work independently in a fast-paced environment

Preferred Qualifications

• Experience in enterprise or regulated environments (finance, healthcare, etc.)
• Cloud experience with AWS, Azure, or Google Cloud Platform
• Familiarity with security analytics, SIEM, or observability platforms
• Experience with automation tools and scripting (e.g., Python, Bash, Terraform, Ansible)
• Prior experience supporting customer-facing or consulting engagement