Elastic Cloud Security Engineer (R0248356)

Seneca Resources; Lexington (MA); Presencial; USD 140.000 - 190.000; Jornada completa

Descripción de la vacante

Seneca Resources seeks an experienced Elastic Stack Security Engineer to design, implement, and operate systems that automate advanced cyber activities. You will work with Elasticsearch, Kibana, Logstash, and Beats, contributing to security analytics, detection rules, and data pipelines.

This role requires deep experience with ECS, SIEM workflows, and log ingestion across heterogeneous sources, with preference for government cybersecurity backgrounds and potential for a Secret clearance.

Formación

• 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, and 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.
• Ability to obtain a Secret clearance.
• Bachelor’s degree

Responsabilidades

• 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.

Conocimientos

Elastic Stack admin

Elasticsearch

Kibana dashboards

Logstash & Beats

SIEM operations

AWS log ingestion

Elastic Common Schema (ECS)

Security analytics

Clearance eligibility

Bachelor’s degree

Educación

Bachelor’s degree

Herramientas

Elastic Security ML jobs

Elastic AI Assistant

LLM integration

Elastic Agent fleet management

Kubernetes certification

Descripción del empleo

The Opportunity

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.

Qualifications

• 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, and 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
• Ability to obtain a Secret clearance
• Bachelor’s degree

Nice to Have Skills

• 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