Top Secret Elastic Cybersecurity Engineer

Position Overview
- We are seeking a talented Mid-Level Elastic Engineer to join our team. The ideal candidate will have experience working with Elastic Stack (Elasticsearch, Logstash, Kibana, and Beats) to develop, manage, and support scalable search and analytics solutions. The candidate will be part of the Enterprise Logging Solution Team, responsible for maintaining our clients Elastic instances with a heavy emphasis on data on-boarding, content development, configuration, troubleshooting, reporting, and visualizations. Prior experience with Splunk is a strong plus.
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Job Duties and Responsibilities:
- Design, develop, and maintain custom dashboards using Elastic stack for monitoring and visualization of system metrics, logs, and traces.
- Monitor and optimize the performance of Elastic Stack clusters to ensure high availability, reliability, and performance.
- Work with data sources and ETL processes to integrate and normalize data into Elasticsearch, ensuring data quality and consistency.
- Implement and maintain security best practices for Elastic Stack, including access controls, encryption, and compliance with regulatory standards.
- Create and maintain comprehensive documentation for Elastic Stack configurations, processes, and procedures.
- Maintain Elasticsearch clusters in a cloud based environment across multiple availability zones.

pay range: $50/hr - $77/hr . pay range based on prior experience and relevancy to the job

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected].

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Requirements:
- Top Secret clearance (this is so the candidate can be processed for a CBP BI in a timely manner)
- Bachelors Degree
- 4-8 years of related experience in cybersecurity engineering (some potential flex)
- 3+ years of Elasticsearch stack (Elasticsearch, Logstash, Beats, Kibana) experience in active production environment
- Networking background / experience with Linux
- Experience working in an AWS environment
- Experience working with Splunk (preferred)
- Experience with data ingest, Extract, Transform, and Load (ETL) techniques.
- Experience with multi-node clustering, architecture, development, implementation, and health monitoring of the indexes.
- Advanced understanding of Elasticsearch Management, reindexing and data mappings, JSON and KQL searching syntax, and Kibana dashboard options.
- Experience working with various versions of JAVA.
- Experienced Linux administrator with strong bash scripting ability.
- Proficient with managing AWS Elastic Kubernetes Service.
- Experience troubleshooting, tuning, and configuring Elasticsearch clusters, nodes, shards, and analyzers from the ground up.
- Experience configuring and managing Elastic CDM Dashboard / XML.
- Proficient with Ansible Ad-hoc commands and creating / editing playbooks for automation.
- Experience designing, documenting, implementing, securing, and maintaining Elasticsearch, Logstash, Kibana (ELK Stack) Enterprise solutions.
- Excellent problem-solving skills with the ability to troubleshoot and resolve complex issues in a timely manner.
- Employees are required to favorably pass a 5-year (BI) Background Investigation.
- Familiar with the management, operational, and technical aspects of IT Security in a complex enterprise environment.

Preferred Skills / Qualifications / Certifications
- Elastic Engineer, Elastic Analyst, and/or Elastic Observability Engineer Certifications.
- Experience with deploying and using Elasticsearch in Commercial Cloud Platform (ex, AWS, Google Cloud, Azure).
- Proficiency in scripting languages such as Python or PowerShell for automation and integration tasks.
- Knowledge of PKI (ability to create and validate certificates).

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.