Elastic Security Engineer at servissllc

Setup: Remote
Location: Sierra Vista, Arizona
Type: Full-time
Level: not_specified
Posted: Jul 27, 2026

Description

SERVISS is seeking an Elastic Security Engineer to support a Federal DoD SIEM program. This is a technical, hands-on role in which you will work within a multi-disciplined team to design, build, secure, maintain, optimize, and document multiple Elastic Stack enterprise solutions (Elasticsearch, Logstash, Kibana, Beats, Machine Learning, and SIEM) deployed globally in a Federal DoD environment, with automation support using Ansible.

Required Skills

Elastic Stack
Elasticsearch
Logstash
Kibana
Beats
Machine Learning
SIEM
Ansible
Data Normalization
Technical Deliverables
SOPs
Process Workflows
Infrastructure
Reporting Automation
Internal Engineering Personnel
External Customer Requirements

Additional Information

Required Previous Experiences: At least 4 years of hands-on experience in deployment, configuration, and solution development using the Elastic Stack for security and logging use cases.
Demonstrated experience with the full Elastic Stack: Elasticsearch, Logstash, Kibana, Beats, Machine Learning, and REST API integration.
Demonstrated ability to use Ansible playbooks.
Preferred Qualifications: Experience integrating Elasticsearch with external systems (e.g., SOAR tools, threat intelligence platforms)
Experience with data management: hot/warm/cold architectures, shard allocation and re-allocation, snapshots and restoration
Strong experience evaluating existing Elastic clusters, configuration parameters, indexing, search and query performance tuning, security, and cluster administration
Experience integrating Elasticsearch with authentication mechanisms such as SAML, LDAP, and PKI
Experience supporting the Elastic Stack in on-prem and SaaS environments, including system monitoring and tuning
Experience securing the Elastic Stack and hardening hosting environments
Development experience in multiple languages (Python, Bash, PowerShell, Painless, etc.)
Experience designing and implementing highly scalable Elastic Stack solutions
Experience developing data structures and data mappings from various sources to achieve data normalization using Elastic Common Schema (ECS)
Experience developing Logstash and/or ingest pipelines
Experience developing custom Kibana visualizations and dashboards
Experience developing custom reporting solutions using APIs that leverage Elasticsearch and ElastiCache
Experience with 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
Experience with Red Hat Enterprise Linux deployment and administration