Elastic Engineer

This role will support a DoD Cybersecurity program. This is a technical hands‑on role in which you will be responsible for working within a multi-disciplined team to design, build, secure, maintain, optimize, and document multiple Elastic Stack Enterprise solutions (Elasticsearch, Logstash, Kibana, Beats, ML, SIEM) deployed globally in a Federal DoD environment, along with support using Ansible playbooks. Additionally, you will perform continuous data normalization support functions and support the delivery of written technical deliverables such as SOPs and/or process workflows to optimize tool usage and contribute to new capabilities.

Your infrastructure, data pipelines, and reporting automation will directly support internal engineering personnel and external customer requirements.

• Minimum Secret Clearance is required
• Compliance with DoD 8140 / 8570 IAT Level II certification prior to start date
• At least 4 years’ hands‑on experience in deployment, configuration, and solution development using the Elastic Stack for security and logging use‑cases. Specific experience with Elastic SIEM is a plus
• Demonstrated experience with the full Elastic Stack – Elasticsearch, Logstash, Kibana, Beats, Machine Learning, and REST API integration
• Demonstrated ability to utilize Ansible Playbooks

• Experience integrating Elasticsearch with external systems (e.g., SOAR tools, Threat Intel Platforms)
• Experience with data management: hot/warm/cold architectures, shard allocation/re-allocation, snapshots & restoration
• Strong experience with evaluating existing Elastic clusters, configuration parameters, indexing, search and query performance tuning, security, and cluster administration
• Experience integrating Elasticsearch with alternate authentication mechanisms such as SAML, LDAP, and PKI
• Experience with supporting the Elastic Stack in on‑prem and SaaS environments including system monitoring and tuning
• Experience securing the Elastic Stack and hardening hosting environments
• Experience with developing in multiple languages (Python, Bash, Power Shell, Painless, etc.)
• Experience with the design and implementation of highly scalable solutions using the Elastic Stack
• Experience in developing data structures and data mapping from various sources to achieve data normalization using Elastic Common Schema
• Experience developing Logstash and/or Ingest Pipelines
• Experience developing custom visualizations and dashboards using Kibana
• Developing custom reporting solutions using APIs that leverage Elasticsearch and Elasti Cache
• Experience in end‑to‑end low‑level design, development, administration, and delivery of Elasticsearch‑based reporting solutions
• Strong technical foundation in building reliable, scalable, and supportable systems

Experienced in Red Hat Enterprise Linux deployment and administration