Elastic Engineer

Remote from: USA
Salary, yearly, USD: 120,000 - 170,000
Department: Software Engineering
Employment type: Full Time,
Job posted: 7 Jun 2026
Apply before: 7 Jul 2026
Experience level: Midweight
Views / Applies: 25 / 4

About ECS

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Actively Hiring

AI Summary

Everforth ECS seeks a Senior Elastic Engineer for a remote role supporting Army PEO C3N. Responsibilities include designing, building, and maintaining Elastic Stack solutions in a DoD environment. The role requires a Top-Secret clearance, Elastic certification, and hands-on experience with the full Elastic Stack and Ansible. The position offers a salary range of $120,000-$170,000 and involves working on a multi-disciplined team to deliver technical deliverables and optimize tool usage. The ideal candidate will have at least 4 years of Elastic Stack experience and a desire to contribute to cybersecurity operations.

Role DNA

Job Complexity

Easy Hard

Pace & Pressure

Relaxed Fast-paced

Autonomy Level

Guided Full Ownership

Communication Load

Independent Highly Collaborative

AI Insight The role requires a Top-Secret clearance, specialized Elastic certification, and 4+ years of hands-on experience, making it a challenging position for senior engineers.

Salary Analysis

AI Insight The offered salary range of $120,000-$170,000 is competitive and sits above the market median for Elastic Engineers in the US. The midpoint aligns well with industry standards for senior roles requiring clearance.

Key Skills

Elastic Stack Elasticsearch Logstash Kibana Ansible SIEM Security DoD Clearance Machine Learning REST API

Cover Letter Sample

Dear Hiring Manager,

I am writing to express my interest in the Senior Elastic Engineer position at Everforth ECS. With over 5 years of hands-on experience in deploying and optimizing the Elastic Stack, including Elasticsearch, Logstash, Kibana, and Beats, I am confident in my ability to contribute to your team's cybersecurity missions. My background includes designing scalable data pipelines, implementing security analytics, and automating configurations with Ansible.

I hold an active Top-Secret clearance and possess the DoD 8570 IAT Level II certification, aligning with your requirements. Additionally, I am an Elastic Certified Engineer and have successfully deployed Elastic SIEM solutions in government environments. I thrive in agile, collaborative settings and am eager to bring my technical expertise to protect your customers and corporate infrastructure.

Thank you for considering my application. I look forward to the opportunity to discuss how my skills can support the Army PEO C3N program.

Sincerely,
[Your Name]

Possible Interview Questions

Describe your experience with the full Elastic Stack. How have you used Elasticsearch, Logstash, Kibana, and Beats in a production environment?

I have worked with the Elastic Stack for over 4 years. In my last role, I deployed Elasticsearch clusters for log aggregation, configured Logstash pipelines to parse diverse data sources, created Kibana dashboards for real-time monitoring, and used Beats to ship data from endpoints. I also utilized Machine Learning for anomaly detection.

Can you provide an example of how you used Ansible to automate Elastic Stack deployments?

I wrote Ansible playbooks to automate the installation and configuration of Elasticsearch nodes across multiple servers. This included setting up cluster settings, managing SSL certificates, and ensuring consistent configuration. Playbooks also handled rolling upgrades and health checks.

How do you ensure compliance with DoD security requirements when implementing Elastic solutions?

I follow DISA STIGs for Elasticsearch and apply security hardening such as enabling TLS, implementing RBAC, and auditing logs. I also ensure data is encrypted at rest and in transit, and regularly update configurations to meet IAT Level II standards.

Describe a challenging problem you solved using Elasticsearch query performance optimization.

In a previous project, slow queries due to large indices affected dashboard performance. I optimized by creating index templates with proper mappings, using shard sizing best practices, and implementing query filters. This reduced query time by 60%.

How do you stay current with the latest Elastic Stack features and cybersecurity threats?

I regularly attend ElasticON conferences, participate in Elastic community forums, and complete Elastic-certified training. For cybersecurity, I follow threat intelligence feeds and apply new detection rules in Elastic SIEM to address emerging threats.

Everforth ECS is seeking an Elastic Engineer to work remotely.

As a leading provider of managed cybersecurity services, ECS provides a highly tailored and customized offering to each customer. Our team is responsible for protecting both our customers and corporate environment at ECS. Our mission is very broad, and our team is agile. We will look toward your unique skills to approach and solve problems in your own way. Whether engineering a system to address a technical hurdle, protecting customers data or consulting on a wide range of security topics. You are empowered to engage and lead across multiple groups.

This role of Senior Elastic Engineer will support ECS’s Army PEO C3N program. This is a technical hands-on role to which you will be responsible for working within a multi-disciplined team to design, build, secure, maintain, optimize, and document multiple Elastic Stack Enterprise solutions (Elasticsearch, Logstash, Kibana, Beats, ML, SIEM) deployed globally in a Federal DoD environment, along with support using Ansible playbook. Additionally, you will perform continuous data normalization support functions and support the delivery of written technical deliverables such as SOPs and/or process workflows to optimize tool usage and contribute to new capabilities. Your infrastructure, data pipelines and reporting automation will directly support internal engineering personnel and external customer requirements.

Salary Range: $120,000 – $170,000

General Description of Benefits

Qualifications

Minimum Top-Secret clearance is required with SCI eligibility
Compliance with DoD 8140 / 8570 IAT Level II certification prior to start date
Certified Elastic Engineer or willingness to gain certification within 90 days of hire
At least 4 years’ hands-on experience in deployment, configuration, and solution development using the Elastic Stack for security and logging use-cases. Specific experience with Elastic SIEM is plus.
Demonstrated experience with the full Elastic Stack – Elasticsearch, Logstash, Kibana, Beats, Machine Learning, and REST API integration
Demonstrated ability to utilize Ansible Playbook

Apply now >