Sr. Elastic Engineer

ECS Corporate Services; Hampton (VA); On-site; USD 175,000 - 210,000; Full time

Job summary

Everforth ECS in Hampton, VA seeks a Sr. Elastic Engineer to design, deploy, and maintain Elastic Stack environments at scale, collaborating with cross-functional teams to ensure reliability and performance. The role emphasizes scripting, automation, and integration work across cloud and on-prem platforms.

Ideal candidates bring hands-on Elastic Stack experience, strong Linux and cloud skills, and the ability to mentor engineers. Security clearance and U.S.

Qualifications

• 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 Top Secret Clearance, at minimum.

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, 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.
• 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.

Skills

Elastic Stack

Scripting & Automation

Communication

Tools

Elasticsearch

Kibana

Logstash

Beats & Fleet

Terraform

Ansible

Docker

Kubernetes

OpenShift

CI/CD

Job description

Everforth ECS is seeking a Sr. Elastic Engineer to join our team in Hampton, 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, 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: $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 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 Top Secret Clearance, at minimum.