Elastic Cloud Security Engineer

Precision Solutions • Lexington, MA

1d • Hybrid

About The Position

The Elastic Cloud Security Engineer designs, implements, integrates, and maintains systems and tools that automate complex cyber activities. The role applies leading-edge principles, theories, and concepts and contributes to developing new principles and concepts. It addresses unusually complex problems with highly innovative solutions and operates with substantial latitude for unreviewed action or decision. The engineer mentors or supervises employees in company and technical competencies.

The position is hybrid in Lexington, Massachusetts. U.S. citizenship and the ability to obtain a Secret clearance are required.

Requirements

• At least 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 designing log ingestion pipelines, including parsing, enrichment, and normalization across heterogeneous network, endpoint, identity, and cloud log sources.
• Experience with Elastic Common Schema (ECS) and mapping non-standard log sources to ECS-compliant fields.
• Experience in government cybersecurity environments such as SOC, SIEM operations, or defensive cyber.
• Experience optimizing log collections from AWS platforms, endpoints, and network devices.
• Knowledge of AI/ML concepts applied to security analytics, such as anomaly detection, behavioral baselining, or threat scoring.
• Ability to obtain a Secret clearance; U.S. citizenship is required.
• Bachelor’s degree.

Nice To Haves

• Experience working in an agile environment.
• Experience working with DoD clients.
• Experience with Elastic ML jobs, including UEBA, rare process detection, or anomalous login patterns.
• Experience with Elastic AI Assistant or integrating LLMs into Elastic Security workflows, such as natural-language querying and alert-triage assistance.
• Experience building or fine-tuning ML models outside Elastic using Python, scikit-learn, or PyTorch for security use cases such as threat detection or lateral-movement scoring.
• Experience managing Elastic Agent fleets at scale, including custom integrations and policy management.
• Experience with cross-domain data flows and 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

• Design, implement, integrate, and maintain systems and tools to automate complex cyber activities.
• Develop innovative solutions to unusually complex problems.
• Contribute to the development of new principles and concepts.
• Mentor or supervise employees in company and technical competencies.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior