Job-Specific Essential Duties and Responsibilities:
- Lead enterprise-level systems engineering for the Advana platform across IL2, IL5, IL6, and JWICS environments
- Develop component and sub-component system designs using MBSE methodologies and SysML-aligned artifacts
- Analyze and manage technical requirements, ensuring traceability across mission, platform, and customer use cases
- Define and assess system interfaces, human-system interactions, and operational workflows
- Support integration of government, commercial, and open-source technologies across the platform ecosystem
- Lead engineering prioritization, risk analysis, and technical decision-making across multi-stakeholder teams
- Develop and maintain system architecture documentation, configuration baselines, and engineering processes
- Support design, planning, and execution of verification, validation, and test events
- Troubleshoot and resolve complex system issues requiring infrastructure, configuration, or code-level changes
- Contribute to cybersecurity engineering, RMF alignment, Zero Trust architecture, and system ATO documentation
Job-Specific Minimum Requirements:
- 10+ years of systems engineering experience, including in complex DoD or IC environments
- Active TS with SCI. CI Poly preferred.
- Active DoD 8140-compliant certification required. Candidates who do not currently hold the certification will be required to obtain it within 30 days of receiving an offer.
- Proven leadership experience on major technical programs or enterprise transformation efforts
Preferred Skills and Qualifications:
- Experience supporting large-scale data platforms, distributed systems, or multi-domain architectures
- Familiarity with cloud environments (AWS, Azure, or on-prem CSPs), containerization, and orchestration
- Understanding of SRE principles, performance engineering, and observability frameworks
- Experience with Zero Trust components, RMF packages, and cybersecurity architecture
- Ability to translate complex technical issues for senior leaders, mission partners, and non-technical stakeholders
- Prior experience supporting AI/ML platforms, enterprise analytics ecosystems, or cross-domain solutions -
- Demonstrated experience applying MBSE, SysML, or architecture modeling tools
- Proven experience identifying, developing, and closing new business opportunities through strategic prospecting, partnerships, and relationship management.
- Demonstrated ability to drive revenue growth by analyzing market trends, building compelling value propositions, and negotiating commercial agreements.
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