Elastic Cloud Security Engineer

Precision Solutions, Inc.

Lexington (MA)

Hybrid

USD 140,000 - 190,000

Full time

4 days ago
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Job summary

Precision Solutions, Inc. is seeking an Elastic Cloud Security Engineer for a Hybrid role in Lexington, MA. The candidate will design and maintain systems to automate complex cyber activities, build security analytics, and support ECS mappings in a government cybersecurity environment.

The role requires 5+ years with Elastic Stack and the ability to obtain a Secret clearance, plus a Bachelor’s degree. On-site 2/3 days per week in Lexington, MA, US citizenship preferred.

Qualifications

  • 5+ years of Elastic Stack administration (Elasticsearch, Kibana, Logstash, Beats or Fleet).
  • Experience managing Elasticsearch index lifecycle policies, templates, and data streams at scale and building Kibana dashboards.
  • Experience with Elastic Security detection rules, alerts, and case management workflows.
  • Experience with log ingestion pipeline design across heterogeneous sources (network, endpoint, identity, cloud).
  • Experience with Elastic Common Schema (ECS) mapping to ECS-compliant fields.
  • Experience in government cybersecurity environments (SOC/SIEM) or defensive cyber.
  • Experience optimizing log collections from AWS, endpoints, and network devices.
  • Knowledge of AI/ML concepts for security analytics (anomaly detection, baselining, threat scoring).
  • Ability to obtain a Secret clearance.
  • Bachelor’s degree.

Responsibilities

  • Designs, implements, integrates, and maintains systems and tools to automate complex cyber activities.
  • Works on unusually complex problems and provides highly innovative solutions.
  • Mentors or supervises employees in technical competencies.

Skills

Elastic Stack
Elasticsearch
Kibana
Logstash
Beats
Fleet
Security analytics
AI/ML in security
Secret clearance
Bachelor’s degree

Education

Bachelor's degree

Job description

Overview

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

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