Elastic Cloudsecurity Engineer

Booz Allen Hamilton•Boston, MA

7d•$112,800 - $257,000•Remote

About The Position

Designs, implements, integrates, and maintains systems and tools to automate complex cyber activities. Applies leading-edge principles, theories, and concepts. Contributes to the development of new principles and concepts. Works on unusually complex problems and provides highly innovative solutions. Operates with substantial latitude for unreviewed action or decision. Mentors or supervises employees in both company and technical competencies.

Requirements

5+ years of experience administering Elastic Stack, including Elasticsearch, Kibana, Logstash, Beats, or Fleet
Experience managing Elasticsearch index lifecycle policies, index templates, and data streams at scale
Experience building Kibana dashboards, visualizations, and lens-based analytics for security operations
Experience with Elastic Security detection rules, alerts, and case management workflows
Experience with log ingestion pipeline design, including parsing, enrichment, and normalization across heterogeneous log sources such as network, endpoint, identity, and cloud
Experience with Elastic Common Schema (ECS) and mapping non-standard log sources into ECS-compliant fields
Experience working in government cybersecurity environments such as SOC, SIEM operations, or defensive cyber
Experience optimizing log collections from AWS platform, endpoints, and network devices
Knowledge of AI/ML concepts as applied to security analytics such as anomaly detection, behavioral baselining, or threat scoring
Secret clearance
Bachelor’s degree

Nice To Haves

Experience working in an agile working environment
Experience working with DoD clients
Experience with Elastic's ML jobs, including for User and Entity Behavior Analytics (UEBA), rare process detection, or anomalous login patterns
Experience with Elastic AI Assistant or integration of LLMs into Elastic Security workflows such as natural language querying and alert triage assistance
Experience building or fine-tuning ML models outside Elastic, including Python, scikit-learn, and PyTorch, for security use cases such as threat detection or lateral movement scoring
Experience with Elastic Agent fleet management at scale, including custom integrations and policy management
Experience with cross-domain data flows and working in multi-classification environments such as IL4, IL5, or IL6
Experience with ES|QL or EQL for advanced threat hunting and detection-as-code workflows
Kubernetes Certification such as Kubernetes and Cloud Native Certification or Kubernetes Application Developer Certification

Responsibilities

Designs, implements, integrates, and maintains systems and tools to automate complex cyber activities.
Applies leading-edge principles, theories, and concepts.
Contributes to the development of new principles and concepts.
Works on unusually complex problems and provides highly innovative solutions.
Operates with substantial latitude for unreviewed action or decision.
Mentors or supervises employees in both company and technical competencies.
Manages Elasticsearch index lifecycle policies, index templates, and data streams at scale.
Builds Kibana dashboards, visualizations, and lens-based analytics for security operations.
Utilizes Elastic Security detection rules, alerts, and case management workflows.
Designs log ingestion pipelines, including parsing, enrichment, and normalization across heterogeneous log sources.
Maps non-standard log sources into ECS-compliant fields.
Optimizes log collections from AWS platform, endpoints, and network devices.
Applies AI/ML concepts to security analytics such as anomaly detection, behavioral baselining, or threat scoring.
Manages Elastic Agent fleet at scale, including custom integrations and policy management.
Performs advanced threat hunting and detection-as-code workflows using ES|QL or EQL.