Red Cell Partners is an incubation firm focused on building and investing in scalable technology-led companies. The VP of Engineering will lead and scale a high-performing team to develop cutting-edge AI-enabled technology, ensuring the delivery of secure and resilient systems in demanding environments.
Responsibilities:
- Lead and grow a high-performing engineering team of 10+ senior software engineers, with a strong focus on mentorship, technical excellence, and healthy delivery practices
- Set technical vision and execution strategy across our full stack—frontend, backend services, data platforms, and integrations with AI/optimization systems
- Drive experimentation and thoughtful innovation, encouraging teams to explore unconventional approaches while maintaining reliability, security, and healthy delivery practices
- Partner closely with optimization researchers and analytics teams to translate complex algorithms and models into scalable, reliable production systems
- Own engineering delivery: roadmaps, execution plans, engineering standards, and architectural decisions that balance speed, quality, and long-term maintainability
- Oversee complex, multi-layered systems end-to-end, making high impact technical decisions that account for architecture, data, algorithms and operations together rather than in isolation
- Drive engineering excellence establishing high standards for code quality, system design, testing and reliability
- Champion engineering at the leadership level, ensuring the team has the tools, clarity, and focus to do their best work
- Partner with Security and Compliance to ensure engineering systems, processes and environments support CUI handling, NIST SP 800-171, CMMC, DFARS and customer security requirements
Requirements:
- Proven experience leading and scaling high performing engineering teams in a high-growth or startup environment
- Strong technical background across modern web architectures, APIs, distributed systems, and cloud platforms
- Experience bringing complex AI, optimization, or data-intensive systems into production environments
- Track record of setting technical direction while also getting things shipped
- Demonstrated ability to operate effectively in ambiguous problem spaces and translate abstract business or mission goals into concrete technical strategies and execution plans
- Clear, compelling communication skills—able to translate complex technical concepts for both technical and non-technical audiences
- Comfort operating in a fast-moving, evolving environment with real ownership and influence
- Experience operating in DoD, IC, federal or similarly regulated environments
- Working knowledge of CUI handling, NIST SP 800-171, CMMC, DFARS252.204.7012
- Experience with secure SDLC/DevSecOps, vulnerability management, logging, hardening, and auditability
- This role requires US Citizenship and all work to be performed within the United States
- Experience integrating production systems with Python-based analytics or AI workflows
- Familiarity with modern DevOps, observability, and reliability practices
- Familiarity with real-time systems, asynchronous processing, and data-intensive applications
- Experience supporting live exercises, demonstrations, operational test events, or time-sensitive deployments
- Experience working closely with mathematical optimization models, including translating real-world problems into production systems in partnership with optimization researchers
- Experience with Algebraic Modeling Languages and Solvers (e.g., Pyomo, GAMS, AMPL, CPLEX, Gurobi)
- Experience with RMF, ATO, or cATO processes
- Experience with ITAR/EAR or export-controlled environments