Stella Technologies LLC is a lean startup that delivers model based systems engineering, digital cyber engineering, and modeling, simulation, and analysis for complex technical programs. We help teams connect requirements, architecture, and verification in a way that stays coherent as systems change, and we build the tooling and automation needed to keep engineering work traceable and usable over time. Our work includes building model driven workflows, simulation and digital twin environments, and cyber informed engineering approaches that support early testing, trade studies, and evidence based decisions. Stella is intentionally small and execution focused, staffed by highly capable individuals who take ownership of difficult tasks and deliver practical, working solutions. We believe human time is the world's most valuable asset and the greatest waste is squandering brilliant minds on repetitive, automatable tasks. We build systems that eliminate waste, freeing people to focus on creative, strategic, and complex challenges. Incumbency is a bug, not a feature. We build with open standards and straightforward engineering. No proprietary lock-in, no opaque systems.

What You'll Do

• Collect and catalog PP artifacts, including PPPs, SCGs, Criticality Analyses, Anti-Tamper Plans, and cybersecurity documentation, and build an authoritative inventory of what exists, who owns it, and how it is used.
• Map out the existing landscape of PP-related tools and processes, documenting what each tool does, what data it touches, and where interoperability gaps exist.
• Work with the data engineering team to extract and define the data objects, attributes, and relationships embedded in PP documents and tools, ensuring nothing important is lost in translation.
• Review and validate schema definitions, ontology terms, and workflow models against established PP policy and operational practice.
• Serve as the primary liaison between the technical team and Government PP practitioners, ensuring that the people who perform this work daily have a voice in how the data model takes shape.
• Develop clear, usable reference content for the knowledge base that helps both practitioners and future developers understand the PP data model and its policy foundations.
• Define data-driven workflows by identifying the actors, data inputs and outputs, decision points, and acceptance conditions for each PP activity.

What We're Looking For

• 8+ years of experience in DoD Program Protection, acquisition security, or systems security engineering.
• Direct experience producing or substantially contributing to PPPs, SCGs, Criticality Analyses, or Anti-Tamper Plans for weapon-system programs.
• Strong working knowledge of the governing policy landscape, including DoDI 5000.83, DoDI 5200.39, DoDI 5200.44, DAFI 63-101/20-101, DAFPAM 63-113, and related guidance.
• Ability to decompose complex policy documents and operational processes into discrete data objects, attributes, and decision logic while preserving important nuance.
• Strong communication skills in both directions: translating technical data-model concepts for Government stakeholders and translating operational realities for engineers.
• Active Secret clearance; willingness and ability to obtain TS/SCI if needed.

Nice to Have

• Familiarity with Agile or iterative delivery approaches in a Government contracting environment.
• Exposure to data modeling concepts, JSON Schema, or ontology work (OWL/RDF). Deep expertise is not required, but familiarity is a plus.
• Background in digital transformation or process-improvement efforts within DoD acquisition.
• CISSP, CAP, or equivalent security certification.