Elastic Engineer

ECS Tech Inc

4h • $120,000 - $200,000 • Remote

About The Position

ECS is seeking a Sr Elastic Engineer to support AESS 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 Endpoint Security
Solution (AESS) 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 deployed globally in a
Federal DoD environment. These deployments leverage the full Elastic Stack of
capabilities such as Elasticsearch, Logstash, Kibana, Beats, Machine Learning,
SIEM, and Fleet. Along with third-party technologies like Confluent Kafka. You
will provide 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.

Requirements

• Minimum Top-Secret clearance is required, can start with Secret.
• 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 5 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.

Responsibilities

• Design, deploy, configure, and maintain Elastic stack and Confluent Kafka deployments.
• Manage, patch, and upgrade Elasticsearch, Confluent and other related systems.
• Tune and optimize Elastic stack deployments based on application/customer needs.
• Design and configure ETL data pipelines to ingest customer defined data sets such as application logs, metrics, and or threat events.
• Create custom visualizations and dashboards using Kibana.
• Configure and maintain index templates and information lifecycle management (ILM) policies.
• Develop Elastic alerting solutions using Watcher and/or Kibana Rules and Connectors with integrations to ticketing systems, email, and messaging apps as required.
• Develop Machine Learning (ML) jobs to dynamically monitor and alert on identified metrics, KPIs, and/or data anomalies.
• Follow ITIL based change management processes to move solutions from Dev to Test and into Production

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed