Sr. Elastic Engineer

ecsfederal; Fort Meade (MD); On-site; USD 180,000 - 205,000; Full time

Benefits offered by this job

Secret Clearance

On-site engagements in MD/VA

Job summary

ECS Federal seeks a Sr. Elastic Engineer to design, deploy, and maintain Elastic Stack environments across on-prem and cloud platforms from Fort Meade, MD or Quantico, VA. Lead ingestion pipelines, dashboards, and automation to improve reliability and performance.

The role requires hands-on Elastic expertise, scripting, and the ability to collaborate with engineering, DevOps, and client teams. Security clearances and willingness for on-site engagements are essential.

Qualifications

• Proficient in Elastic Stack design, deployment, and maintenance.
• Experience with on-prem and cloud deployments (AWS/Azure/GCP).
• Strong scripting and automation, mentoring others a plus.

Responsibilities

• Design, deploy, and maintain Elastic Stack environments (Elasticsearch, Kibana, Logstash, Beats, Fleet).
• Build ingestion pipelines, index strategies, dashboards, and automation workflows.
• Write scripts and integrations (Python, PowerShell, Bash) to automate ops and monitoring.
• Deploy Elastic across on-prem, cloud, GovCloud, and container platforms (Kubernetes, Docker, OpenShift).
• Leverage Terraform, Ansible, CI/CD, and Docker for deployments and operations.
• Integrate Elastic with SIEMs and telemetry sources (Splunk, CrowdStrike).
• Monitor health, troubleshoot performance, and optimize reliability and scalability.
• Lead design reviews and share Elastic best practices across teams.
• Maintain architectures, runbooks, and deployment documentation.
• Stay current with Elastic features and certifications.

Skills

Scripting

Elastic Stack

Cloud platforms

Mentoring

Observability

Tools

Elastic Stack

Terraform

Ansible

Docker

Kubernetes

OpenShift

CI/CD

Python

Job description

ECS is seeking aSr. Elastic Engineer to work in ourFt. Meade, MD ORQuantico, VA office.

Please Note: This position is contingent upon additional funding.

Are you passionate about building and scaling Elastic environments and eager to make an immediate technical impact? Join ECS, a leading provider of cloud, AI, data, and enterprise transformation solutions. In this role, you will implement, optimize, and maintain Elastic Stack environments at scale while contributing to architecture, automation, and integrations that improve reliability, performance, and operational efficiency.

We are seeking a Sr. Elastic Engineer to join our Managed Security Services (MSSP) team. The ideal candidate has 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.

Salary Range: $180,000 - $205,000

General Description of Benefits

• 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.
• Outstanding verbal and written communication skills.
• Willingness and ability to support domestic or international on-site engagements.
• U.S. Passport required.
• Must have a Secret Clearance, at minimum.
• Must be eligible to obtain a U.S. Security Clearance.