Elastic Stack Architect & Lead 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 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