Sr. Elastic Engineer

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

Job summary

ECS Corporate Services is seeking a Sr. Elastic Engineer to design, deploy, and optimize Elastic Stack environments at scale, across on-premises and cloud platforms.

You will write automation scripts, build ingestion pipelines, and collaborate with DevOps, Cloud, and client teams to ensure high availability and performance. The role requires hands-on Elastic experience, strong Linux skills, and the ability to work across multiple environments including AWS, Azure, GCP, GovCloud, and container

Qualifications

• Experience with Elastic Stack at production scale.
• Ability to design, deploy, and optimize Elastic environments.
• Strong scripting and automation capabilities.

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 and integrations (Python, PowerShell, Bash) to streamline operations and monitoring.
• Deploy Elastic across on-premises, cloud (AWS/Azure/GCP), GovCloud, and container platforms (Kubernetes, Docker, OpenShift).
• Use Terraform, Ansible, CI/CD pipelines, and Docker to manage deployments and tasks.
• Integrate Elastic with SIEMs and telemetry sources; monitor health and performance.
• Lead design reviews and share Elastic best practices across teams.
• Maintain documentation for architectures, runbooks, and deployment patterns.
• Stay current with Elastic features and certification paths.

Skills

Elastic Stack expertise

Scripting (Python, PowerShell, Bash)

Linux/Unix

Cloud platforms (AWS, Azure, GCP)

Automation & CI/CD

Team collaboration

Tools

Elasticsearch

Kibana

Logstash

Beats

Fleet

Terraform

Ansible

Docker

Kubernetes

OpenShift

Job description

ECS is seeking a Sr. Elastic Engineer to work in our Ft. Meade, MD OR Quantico, VA office. 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, 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:

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 Secret Clearance, at minimum.
• Must be eligible to obtain a U.S. Security Clearance.