Sr Elastic Engineer

Socket.dev; Virginia (IL); Hybrid; USD 170,000 - 190,000; Full time

Job summary

ECS is seeking a Sr. Elastic Engineer to design, deploy, and optimize Elastic Stack environments across on-prem and cloud platforms. This remote role requires hands-on Elastic capabilities and the ability to collaborate with cross-functional teams to ensure reliability and performance.

Ideal candidates will bring strong scripting, Linux/Unix, cloud knowledge (AWS, Azure, GCP), and a track record mentoring teams on Elastic best practices. U.S. passport and at least Secret clearance are required.

Qualifications

• Hands-on Elastic Stack expertise (Elasticsearch, Kibana, Logstash, Beats, Fleet).
• Strong scripting skills (Python, PowerShell, Bash).
• Experience designing, deploying, and optimizing production-scale Elastic environments.
• Linux/Unix, networking, and cloud platform knowledge (AWS, Azure, GCP).
• Ability to mentor and influence engineering teams on Elastic best practices.
• Excellent verbal and written communication; US citizen with passport and security clearance.

Responsibilities

• Design, deploy, and maintain Elastic Stack environments, including Elasticsearch, Kibana, Logstash, Beats, Fleet.
• Build ingestion pipelines, index strategies, dashboards, and automation workflows.
• Write scripts and integrations to streamline operations.
• Deploy Elastic across on-prem, AWS, Azure, GCP, GovCloud, and containers.

Skills

Elastic Stack

Scripting

Linux/Unix

Cloud platforms

Mentoring

Communication

Tools

Terraform

Ansible

Docker

Kubernetes

OpenShift

CI/CD

Splunk

SIEMs

Job description

ECS is seeking a Sr. Elastic Engineerto 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

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 Secret Clearance, at minimum.