Sr Elastic Engineer

ecsfederal; Virginia (MN); Hybrid; USD 170,000 - 190,000; Full time

Job summary

ECS Federal is seeking a Sr. Elastic Engineer to design, deploy, and optimize Elastic Stack environments remotely. You will collaborate with engineering, DevOps, cloud, and client teams to deliver high-performance, scalable solutions with strong reliability and observability.

The role emphasizes automation, scripting, and legacy to modern data pipelines, spanning on-prem, cloud, GovCloud, and containerized platforms while maintaining system health and performance. A Secret clearance is preferred.

Qualifications

• Hands-on expertise with Elastic Stack (Elasticsearch, Kibana, Logstash, Beats, Fleet).
• Strong scripting skills (Python, PowerShell, Bash) and automation experience.
• Solid Linux/Unix knowledge and cloud platform familiarity (AWS, Azure, GCP).

Responsibilities

• Design, deploy, and maintain Elastic Stack environments across platforms.
• Build and optimize ingestion pipelines and dashboards; develop automation workflows.
• Write scripts and integrations to streamline operations and monitoring.
• Deploy Elastic across on-prem, cloud, GovCloud, and containerized environments (Kubernetes, Docker, OpenShift).
• Lead design reviews and share Elastic best practices across teams.
• Maintain deployment runbooks and architecture documentation.

Skills

Elastic Stack

Scripting

Linux/Unix

Cloud platforms

Tools

Terraform

Ansible

CI/CD

Docker

Kubernetes

OpenShift

Job description

ECS is seeking a Sr. Elastic Engineer to work remotely. 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 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: $170,000-$190,000

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 Secret Clearance, at minimum.