Senior Elastic Engineer - Federal Team (Onsite at Scott AFB)

zealotech people United State
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AI Summary

Design, deploy, and maintain complex Elastic Stack environments. Collaborate with cross-functional teams to deliver high-performance Elastic solutions. Lead design reviews and mentor teams on Elastic best practices.

Key Highlights
100% onsite at Scott AFB
Relocation assistance available
Long-term FTE opportunity with client
Key Responsibilities
Design, deploy, and maintain Elastic Stack environments
Build and optimize ingestion pipelines, index strategies, search queries, dashboards, and automation workflows
Write scripts, automation, and integrations to streamline operations, data processing, and monitoring
Deploy Elastic across various platforms including on-premises, public cloud, GovCloud, and containerized environments
Integrate Elastic with enterprise tools such as SIEMs, Splunk, CrowdStrike, and other telemetry sources
Monitor system health, troubleshoot performance issues, and optimize for reliability and scalability
Lead design reviews, provide guidance on Elastic best practices, and support knowledge sharing across teams
Maintain documentation for architectures, deployment patterns, runbooks, and operational best practices
Technical Skills Required
Elastic Stack Kubernetes Python, PowerShell, Bash
Benefits & Perks
Relocation assistance

Job Description


Job Description:

We are seeking a Sr. Elastic Engineer to join our client’s Federal team. This position is 100% onsite at Scott AFB. Relocation assistance is available for this long-term FTE opportunity with our client.


We are seeking candidates with hands-on experience with Elastic Stack and enjoys designing, coding, and deploying complex systems. You will collaborate with engineering, DevOps, cloud, and client teams to deliver resilient, high-performance Elastic solutions while maintaining visibility into system health and operational workflows.

Key Responsibilities:

- Design, deploy, and maintain Elastic Stack environments, including Elasticsearch, Kibana, Logstash, Beats, and Fleet.

- Build and optimize ingestion pipelines, index strategies, search queries, dashboards, and automation workflows.

- Write scripts, automation, and integrations (Python, PowerShell, Bash, etc.) to streamline operations, data processing, and monitoring.

- Deploy Elastic across platforms, including on-premises, public cloud (AWS, Azure, GCP), GovCloud, and containerized environments (Kubernetes, Docker, OpenShift).

- Leverage automation and orchestration tools such as Terraform, Ansible, CI/CD pipelines, and Docker to manage deployments and operational tasks.

- Integrate Elastic with enterprise tools such as SIEMs, Splunk, CrowdStrike, and other telemetry sources.

- Monitor system health, troubleshoot performance issues, and optimize for reliability and scalability.

- Lead design reviews, provide guidance on Elastic best practices, and support knowledge sharing across teams.

- Maintain documentation for architectures, deployment patterns, runbooks, and operational best practices.

- Stay current with Elastic features, certifications, and emerging platform capabilities.

Required Skills:

- Must have a Secret Clearance

- Elastic Certification is a big plus

- Must have tech stack: Elastic / ECK / Kubernetes - Would consider solid Elastic and Kubernetes exp that doesn't have ECK

- Deep, hands-on expertise with Elastic Stack (Elasticsearch, Kibana, Logstash, Beats, Fleet).

- Strong scripting and automation skills (Python, PowerShell, Bash, etc.).

- Solid understanding of observability, logging, metrics, and distributed systems.

- Experience designing, deploying, and optimizing production-scale Elastic environments.

- Strong Linux/Unix, networking, and cloud platform knowledge (AWS, Azure, GCP).

- Ability to mentor, guide, and influence engineering teams on Elastic best practices.

- Prior experience in DevOps, Site Reliability Engineering, or cloud platform roles is a plus.


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