Elastic Cloud Security Engineer with Security Clearance

Elastic Cloud Security Engineer Hybrid | Lexington, MA (on-site 2/3 days per week) US Citizen w/ the ability to obtain a Secret clearance required Summary 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, 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

Abily to obtain a Secret clearance

Bachelor’s degree Preferred Requirements 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 Education/Certification Requirements Bachelor's degree Clearance Requirements Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; US Citizenship with the ability to obtain a Secret clearance is required