Sr. Elastic Engineer

Socket.dev; Reston (VA); On-site; USD 170,000 - 210,000; Full time

Job summary

ECS in Reston, VA is looking for a Sr. Elastic Engineer to design, deploy, and maintain Elastic Stack environments at scale. You will collaborate with engineering, DevOps, cloud, and client teams to deliver resilient solutions.

The role requires hands-on Elastic expertise, strong scripting, Linux/Unix, cloud knowledge (AWS/Azure/GCP), and the ability to mentor teams. Domestic and international on-site engagements and TS/SCI clearance are expected.

Qualifications

• Hands-on expertise with Elastic Stack (Elasticsearch, Kibana, Logstash, Beats, Fleet).
• Strong scripting and automation skills (Python, PowerShell, Bash, etc.).
• Understanding of observability, logging, metrics, and distributed systems.
• Experience designing, deploying, and optimizing production-scale Elastic environments.
• Strong Linux/Unix, networking, and cloud knowledge (AWS, Azure, GCP).
• Ability to mentor, guide, and influence engineering teams on Elastic best practices.
• Outstanding verbal and written communication skills.
• Willingness to support domestic or international on-site engagements.
• U.S. Passport required; TS/SCI clearance at minimum; eligible for U.S. Security Clearance.

Responsibilities

• Design, deploy, and maintain Elastic Stack environments (Elasticsearch, Kibana, Logstash, Beats, Fleet).
• Build and optimize ingestion pipelines, index strategies, searches, dashboards, automation workflows.
• Write scripts and integrations to streamline operations, data processing, and monitoring.
• Deploy Elastic across on-prem, AWS, Azure, GCP, GovCloud, and container platforms (Kubernetes, Docker, OpenShift).
• Use Terraform, Ansible, CI/CD pipelines, and Docker for deployments and tasks.
• Integrate Elastic with SIEMs, Splunk, CrowdStrike, and telemetry sources.
• Monitor health, troubleshoot performance, and improve reliability.
• Lead design reviews and share Elastic best practices.
• Maintain runbooks and deployment/run-time architecture docs.
• Stay current with Elastic features and certifications.

Skills

Elastic Stack expertise

Scripting & automation

Observability & distributed systems

Production-scale design/deploy

Linux/Unix & cloud (AWS/Azure/GCP)

Mentoring & guidance

Strong communication

US Passport & clearance readiness

Tools

Terraform

Ansible

Docker

Kubernetes

OpenShift

CI/CD pipelines

Job description

ECS is seeking a Sr. Elastic Engineerto work in our Reston, VAoffice. 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, 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: $170,000 - $210,000

General Description of Benefits

Qualifications

• 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 TS/SCI Clearance, at minimum.
• Must be eligible to obtain a U.S. Security Clearance.