Sr. Elastic Engineer

ECS Corporate Services; Norfolk (VA); On-site; USD 180,000 - 205,000; Full time

Job summary

Everforth ECS in Norfolk, VA seeks a Sr. Elastic Engineer to design, deploy, and scale Elastic Stack environments across on‑prem and cloud platforms. You will build ingestion pipelines, optimize performance, and automate operations with scripts and CI/CD integrations.

Collaborate with DevOps, cloud, and client teams, mentor engineers, maintain runbooks, and stay current with Elastic features. Requires TS/SCI clearance and on‑site engagement willingness.

Qualifications

• Hands-on Elastic Stack experience and deployment skills.
• Strong scripting for automation and data processing.
• Solid understanding of observability, logging and metrics.
• Proficient in Linux/Unix environments and cloud platforms.
• Ability to mentor teams and collaborate cross-functionally.

Responsibilities

• Design, deploy, and maintain Elastic Stack environments at scale.
• Build ingestion pipelines, index strategies, dashboards, and automations.
• Write scripts and integrations to streamline operations.
• Deploy Elastic across on-prem, cloud, GovCloud, and container platforms.
• Lead design reviews and share Elastic best practices.

Skills

Elastic Stack expertise

Scripting (Python, PowerShell, Bash)

Observability & monitoring

Linux/Unix proficiency

Cloud platforms (AWS, Azure, GCP)

Mentoring / guiding teams

Tools

Elasticsearch

Kibana

Logstash

Beats

Fleet

Terraform

Ansible

CI/CD pipelines

Docker/Kubernetes/OpenShift

Job description

Everforth ECS is seeking a Sr. Elastic Engineer to join our team in Norfolk, VA . This position is continent 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: $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 TS/SCI Clearance, at minimum.
• Must be eligible to obtain a U.S. Security Clearance.