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Booz Allen Hamilton
Booz Allen Hamilton
ConsultingCybersecurityDefense
Booz Allen Hamilton is a management and technology consulting company serving government and commercial clients with advanced technical and strategic expertise. Its work spans national security, defense, intelligence, civil government, and critical infrastructure, bringing together teams focused on artificial intelligence, cybersecurity, cloud computing, digital transformation, engineering, and mission and operations support. The company is particularly engaged in complex, high-assurance challenges for military, intelligence, and federal agencies, alongside selected commercial sectors.
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Systems Engineer and MBSE Modeler - Greenbelt, MD

Booz Allen Hamilton is seeking a Systems Engineer and MBSE Modeler to modernize IT systems supporting an earth science data center. The role develops digital architecture models and informs space-related engineering decisions.

USUnited StatesMDMarylandVAVirginia
$62,000 – $141,000 / year
On-siteFull-timeMiddleSeniorEnglish RequiredSystems Engineer
CloudDockerKubernetesMicroservicesOpenShift

Description

  • Evaluate and modernize IT systems supporting a major earth science data center
  • Apply and expand digital engineering, MBSE, and earth science data expertise to improve service for users worldwide
  • Assess applicable space requirements to support architecture development with advanced digital engineering tools
  • Collaborate with subject matter experts and stakeholders to identify otherwise overlooked insights
  • Support IT solutions throughout their lifecycle, from initial concept through decommissioning
  • Provide analysis that supports sound decisions about IT systems and services
  • Document and analyze data center architecture and related IT systems
  • Create and maintain digital architecture models and supporting systems documentation
  • Propose system enhancements that help reduce outages

Requirements

  • At least three years of experience in systems engineering, network engineering, or IT systems administration
  • Understanding of systems engineering practices and IT systems
  • Understanding of IT project lifecycles and project management methods
  • Ability to communicate effectively with organizational leaders, IT administrators, software developers, and systems engineers
  • Ability to recommend changes that reduce system outages
  • Ability to create and maintain digital architecture models and related systems documentation
  • Ability to interpret and analyze complex requirements, data flows, system links, and system interconnections
  • Ability to obtain a Secret clearance
  • Bachelor's degree in Systems Engineering or Computer Engineering
  • Experience working with data centers and enterprise architecture
  • Experience using Cameo Systems Modeler, NoMagic MagicDraw, Sparx Enterprise Architect, IBM Rhapsody, or comparable digital engineering tools
  • Understanding of model-based systems engineering principles
  • Understanding of Systems Modeling Language or Unified Modeling Language
  • Understanding of GitLab or comparable continuous integration and continuous delivery technologies
  • Understanding of DevOps, OpenShift, Kubernetes, Docker, microservices architecture, and related concepts
  • Understanding of space procedural requirements
  • Understanding of Agile or Scaled Agile methods, cloud architecture, and configuration management
  • Strong consultation, troubleshooting, and impact analysis abilities
  • Strong written and verbal communication skills
  • Applicants must undergo a security investigation and may need to satisfy eligibility requirements for access to classified information

Benefits

  • Health coverage
  • Life insurance coverage
  • Disability coverage
  • Financial benefits
  • Retirement benefits
  • Paid time off
  • Professional development opportunities
  • Tuition assistance
  • Work-life programs
  • Dependent care support
  • Recognition awards for exceptional performance and strong demonstration of company values
  • Identity verification using advanced biometrics and artificial intelligence
  • Virtual employees are generally expected to keep cameras on during meetings

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