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Job Description:
On behalf of our client we are looking for a SIEM Lead Engineer/Technical project manager who will be responsible for leading a team of engineers managing the Elastic Cloud Enterprise & Elasticsearch platforms for an agency in DHS within Swish Datas Center of Excellence (COE).
Job Responsibilities:
Successfully lead teams of 3 or more engineers providing ongoing cybersecurity support to a federal customer
Pragmatic technical leadership for engineers on complex and largescale ECE clusters deployed across 3 enclaves
Serve as a trusted advisor providing subject matter expertise guidance and best practice recommendations
Work with clients to ensure the project is delivered on schedule blockers are removed and remain within budget. Work with customers and stakeholders to ensure that deliverables are in alignment with requirements
Maintain project plan lead deliverable creation and work with PMO to ensure customer success. Coordinate and create dashboards and reports in ELK. Plan and integrate log and sensor data into ELK.
Streamline cybersecurity tactics techniques and procedures. Coordinate adoption awareness and training for the ELK SIEM. Manage cluster capacity and expansion. Manage log stats and configuration changes on Elk backend through scripting in Java Python
Job Requirements:
Should have a Bachelors degree.
Should be FLSA exempt and should have a minimum experience of 10 years.
Should have an Active DOD TopSecret security clearance status.
15 years of experience with IT in a professional or educational environment. 3 years of experience leading directly reporting technical teams.
5 years of experience with handson operations of sizing monitoring and management and opensource tools including Kafka Logstash Beats Elasticsearch Kibana or Splunk.
Desired Requirements:
Elastic Certified Analyst (ECA) and/or Elastic Certified Engineer (ECE) certifications. Security CEH RHCSA LFCS or similar certifications.
Knowledge of NIST 80053 and DISA Security Technical Implementation Guides (STIGs) and risk management processes.
Experience integrating Elasticsearch Enterprisewide deployments 10 Data nodes)
Full-Time