Sr. Elastic Engineer

ecsfederal; Hampton (VA); On-site; USD 175,000 - 210,000; Full time

Job summary

Everforth ECS in Hampton, VA is seeking a Sr. Elastic Engineer to design, deploy, and optimize Elastic Stack environments at scale. You will build ingestion pipelines, dashboards, and automation across on‑prem, AWS/Azure/GCP, and GovCloud, with a focus on reliability and performance.

The ideal candidate has hands‑on Elastic experience, scripting and automation skills, and the ability to mentor teams while collaborating with DevOps, cloud, and client teams. A Top Secret clearance and U.S.

Qualifications

• Hands-on experience with Elastic Stack (Elasticsearch, Kibana, Logstash, Beats, Fleet).
• Strong scripting skills (Python, PowerShell, Bash) and automation mindset.
• Experience deploying production Elastic environments across on-prem and cloud.
• Familiarity with cloud platforms (AWS/Azure/GCP) and containerization.
• Ability to mentor teams on Elastic best practices and runbooks.
• U.S. Passport and willingness to support on-site engagements; Top Secret clearance.

Responsibilities

• Design, deploy, and maintain Elastic Stack environments at scale.
• Build ingestion pipelines, index strategies, dashboards, and automation workflows.
• Write scripts and integrations to streamline operations and monitoring.
• Deploy Elastic across platforms (on-prem, cloud, GovCloud, Kubernetes, Docker, OpenShift).
• Leverage Terraform, Ansible, CI/CD to manage deployments and tasks.
• Integrate Elastic with SIEMs, Splunk, and telemetry sources; monitor health and performance.
• Lead design reviews, share Elastic best practices, and document architectures.

Skills

Elastic Stack

Python scripting

PowerShell

Bash

Observability

Distributed systems

Mentoring

Tools

Terraform

Ansible

Docker

Kubernetes

OpenShift

CI/CD

Job description

Everforth ECS is seeking aSr. Elastic Engineerto join our team inHampton, VA.This position is contingent upon contract award.

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 Professional 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, includingElasticsearch, 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, includingon-premises, public cloud (AWS, Azure, GCP), GovCloud, and containerized environments (Kubernetes, Docker, OpenShift).
• Leverage automation and orchestration tools such asTerraform, Ansible, CI/CD pipelines, and Docker to manage deployments and operational tasks.
• Integrate Elastic with enterprise tools such asSIEMs, 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: $175,000 - $210,000

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 ofobservability, logging, metrics, and distributed systems.
• Experience designing, deploying, and optimizing production-scale Elastic environments.
• StrongLinux/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 Top Secret Clearance, at minimum.