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Provides model-based systems engineering support for military weapons systems. Responsibilities include systems analysis, integration, configuration management, quality assurance testing, technical documentation, requirements engineering, architecture modeling, verification and validation, and performance optimization. The role requires developing and assessing MBSE models using UML, SysML, and UAF, applying digital-thread practices, and supporting technical decisions in a stakeholder-rich environment.

Manage program data across its lifecycle, including collection, validation, storage, dissemination, integration, and archival. Develop Python scripts and SQL queries for ETL automation, data profiling, discrepancy analysis, schema optimization, and archiving. Support data interoperability, mission data readiness, pre-test validation, post-mission turnaround, and preparation for business intelligence and AI/ML analytics. Collaborate with customers, data engineers, and DevOps teams.

Provides administrative and project coordination support for client-facing activities, including meeting coordination, note-taking, onboarding, document and presentation preparation, progress tracking, deadline management, and stakeholder communication. Supports multiple workstreams and operational modernization efforts in a rapidly changing, mission-oriented environment. Requires on-site work at Fort Belvoir, an active Top Secret/SCI clearance, Microsoft 365 proficiency, and the ability to travel between locations as needed.

Design, execute, and maintain manual and automated tests for web, API, cloud-native, and AI-enabled applications. Develop test plans and frameworks, integrate automated tests into CI/CD, validate data and databases, track defects, perform security and performance testing, and support Agile ceremonies to ensure product quality and compliance.

Design, build, and maintain AI-enabled, cloud-native full-stack web applications using React, Python/Node.js, and AWS. Integrate LLMs (e.g., Amazon Bedrock), implement RAG and agentic workflows, optimize model performance and costs, and support DevSecOps, CI/CD, security (AWS IAM), and operational sustainment in a hybrid DoD-facing environment.

Profiles and analyzes data sources, documents end-to-end lineage, maps source data to canonical models, and supports API schema design. Develops data quality, validation, metadata, and governance documentation while collaborating with engineers, architects, clients, and stakeholders to define clear technical requirements for enterprise data products, APIs, and analytics.

Designs, engineers, and operates secure, scalable hybrid cloud environments for a DoD customer using Azure and AWS. Provides cloud architecture, systems engineering, requirements analysis, automation, Infrastructure as Code, DevSecOps, CI/CD, troubleshooting, and advanced customer support. Serves as a cloud subject matter expert and trusted advisor while documenting technical baselines, designs, and operational capabilities. The role requires DoD cloud governance, security, system administration, container, networking, and STIG remediation expertise.

Engineer and support secure, scalable hybrid cloud environments for a DoD customer using Azure and AWS. Responsibilities include cloud architecture, systems engineering, requirements analysis, automation, Infrastructure as Code, DevSecOps, CI/CD pipelines, troubleshooting, customer advisory services, and technical documentation. The role requires expertise in DoD cloud governance, security, system administration, container platforms, enterprise networks, and cloud-native services.

Develop and maintain C++/Unreal Engine software for space remote-sensing visualization and real-time data processing. Work on containerized, distributed microservice systems, collaborate with cross-functional teams, and deliver end-to-end features while supporting program objectives and on-site operations in Boulder, CO.

Administer and troubleshoot Linux systems in a large-scale, onsite environment. Support virtualized environments, containers, automation, configuration management, CI/CD, disaster recovery, performance tuning, and production-ready customer solutions. Diagnose operating system, storage, boot, service, security, backup, software installation, and performance issues while maintaining strong customer-facing communication. The role requires a bachelor's degree, five or more years of experience, and the ability to obtain a TS/SCI clearance.