Job Description :

Need 2 Managerial References with LinkedIn

Highly Preferred To already have clearance

Seeking a Sr. SIEM Engineer specializing in Elastic Stack and Confluent in support of the PEO Enterprise SIEM Consolidation / Cyber Defense effort. This effort is focused on the consolidation of PEO Enterprise multiple SIEM solutions (approx. 40) into one consolidated SIEM. This individual should have extensive experience with Security Information and Event Management (SIEM) deployment and tuning as well as Security Orchestration Automation and Response (SOAR) development and implementation.


Responsibilities:

Design, deploy, configure, and maintain Elastic stack and Confluent 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

Run the day-to-day operations of the security operations center

Investigate incidents and lead response efforts as applicable

Required Skills:

A Secret clearance will be required to maintain this position

Compliance with DoD 8140 / 8570 IAT Level II certification prior to start date

At least 5 years of 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

Experience integrating Elasticsearch with external systems (e.g. SOAR tools, Threat Intel Platforms)

Experience with data management: hot/warm/cold architectures, shard allocation/re-allocation, snapshots & restoration

Strong experience with evaluating existing Elastic clusters, configuration parameters, indexing, search and query performance tuning, security, and cluster administration

Experience integrating Elasticsearch with alternate authentication mechanisms such as SAML, LDAP, and PKI

Experience with supporting the Elastic Stack in on-prem and SaaS environments including system monitoring and tuning

Experience securing the Elastic stack and hardening hosting environments

Experience with the design and implement of highly scalable solutions using the Elastic Stack

Experience in developing data structures, data mapping from various sources to achieve data normalization using Elastic Common Schema

Experience developing Logstash and/or Elastic Ingest Pipelines

Experience developing custom visualizations and dashboards using Kibana, including creating specialized reporting solutions through Elasticsearch and Kibana APIs to meet complex stakeholder requirements

Experience in end-to-end Low-level design, development, administration, and delivery of Elasticsearch based reporting solutions

Strong technical foundation in building reliable, scalable, and supportable systems

Experienced in Red Hat Enterprise Linux deployment and administration

Desired Skills:

Experience using and developing Ansible playbooks for automation of system deployment and/or configuration

Experience with developing in multiple languages (Python, Bash, PowerShell, Painless, etc.).

Understanding of the MITRE ATT&CK framework

Certified Elastic Engineer or willingness to gain certification within 90 days of hire

Experience with cloud environments (e.g., Azure, AWS, GCP, etc.) and cloud security architecture

Experience condensing large environments to a single pane of glass view to facilitate optimal operational efficiency

Experience leading incident response and forensic investigative initiatives

Demonstrated ability to create and present executive level briefings

Experience with Army policies, regulations, and processes preferred

             

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