Sr. Elastic Engineer

ecsfederal; Massachusetts; On-site; USD 180,000 - 210,000; Full time

Job summary

Everforth ECS is seeking a Sr. Elastic Engineer to design, deploy, and optimize large-scale Elastic Stack environments from Bedford, MA.

You will build ingestion pipelines, dashboards, and automation while collaborating with DevOps, cloud, and client teams to ensure reliability and performance. The role emphasizes scripting, monitoring, and architecture leadership, with responsibilities that include maintaining runbooks, staying current with Elastic features, and supporting on-site engagements

Qualifications

• Hands-on expertise with Elastic Stack and operating at scale.
• Strong scripting skills in Python, PowerShell, or Bash.
• Solid Linux/Unix, networking, and cloud knowledge.
• Able to mentor and influence engineering teams on Elastic best practices.
• Excellent verbal and written communication skills.

Responsibilities

• Design, deploy, and maintain Elastic Stack environments (Elasticsearch, Kibana, Logstash, Beats, Fleet).
• Build and optimize ingestion pipelines, index strategies, dashboards, and automation workflows.
• Write scripts and integrations to streamline operations and monitoring.
• Deploy Elastic across on-prem, AWS/Azure/GCP, GovCloud, and container platforms (Kubernetes, Docker, OpenShift).
• Lead architecture reviews and provide Elastic best-practices guidance; document runbooks and patterns.

Skills

Elastic Stack

Scripting (Python/PowerShell/Bash)

Linux/Unix

Cloud (AWS/Azure/GCP)

Observability/Monitoring

Mentoring/Leadership

Communication

Tools

Elasticsearch

Kibana

Logstash

Beats

Fleet

Terraform

Ansible

Docker

Kubernetes

Job description

Everforth ECS is seeking a Sr. Elastic Engineer to join our team in Bedford, MA. 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: $180,000 - $210,000

• 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.
• 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.