Red Cell Partners

• This is a rare opportunity to build a production deployment pipeline for mission-critical DoD software from the ground up. • As the DevSecOps Project Lead, you will own the end-to-end software delivery lifecycle—from code intake through secure, scalable production deployment. • You will design and operate the DevSecOps pipeline, define the hosting architecture, and integrate security and compliance directly into delivery. • This role spans both modern commercial DevOps practices and the realities of DoD deployment (IL-5 today with a path to IL-6), requiring you to make critical decisions across government networks, cloud environments, and hybrid architectures. • This is a senior role combining hands-on execution with system-level ownership. You will build key components directly while guiding the transition from an existing government-furnished environment to a scalable, long-term production system.

• Define and execute the ATO pathway, including responsibility allocation across government and contractor teams • Author and maintain RMF documentation (SSP, SAP, SCTM, ConMon) in accordance with DoDI 8510.01 and NIST 800-53 • Coordinate with eMASS and Authorizing Officials on assessment and authorization activities • Lead continuous monitoring and reauthorization efforts across the system lifecycle • Define security requirements for cross-domain data flows (IL-5, IL-6, tactical edge) • Evaluate and guide selection of DoD-approved cross-domain solutions • Ensure classification-aware data segmentation is enforceable, auditable, and aligned with policy (e.g., NOFORN, REL_TO, ORCON) • Review system architecture to ensure compliant handling of classified data flows • Support secure operation across NIPR, SIPR, and higher classification environments • Define authorization approaches (inheritance vs. standalone ATOs) across enclaves • Maintain alignment with evolving joint and service-level security requirements

• This is a rare opportunity to define how data moves across the U.S. military’s logistics ecosystem. • As the Architecture and Data Lead, you will own one of the most critical integration challenges in modern DoD software. • You will design and build the integration platform that connects DEFCON AI’s software to the broader logistics C2 ecosystem. • This is a senior role combining deep technical execution and system-level architecture leadership.

• Lead DoW business development efforts • Build and manage pipeline across contracts, OTAs, and SBIRs • Engage directly with Pentagon and senior defense stakeholders • Shape and capture opportunities from early identification through award • Develop partnerships with primes, innovation orgs, and tech companies • Advise leadership on growth strategy and market positioning

Role Description As the Staff DevSecOps Engineer, you will be the technical owner of how security is built into Trase's software development lifecycle and cloud operations. - Integrate automated security testing, continuous vulnerability management, and secure coding practices directly into existing CI/CD pipelines. - Own the implementation of Trase's dedicated security architecture, delivering shift-left tooling (SAST, DAST, SCA, secrets scanning, and IaC scanning) alongside production cloud security services. - Standardize and operate secure pipelines to empower Trase's software engineers while maintaining required controls and capabilities. Qualifications - 10+ years of experience in security engineering, DevSecOps, cloud security, or platform security roles. - Deep, hands-on experience securing modern CI/CD pipelines. - Strong cloud security expertise, primarily in Google Cloud Platform. - Expert-level Terraform skills with a track record of building secure-by-default IaC modules. - Demonstrated experience with SIEM operations and incident response leadership. - Practical experience in environments governed by SOC 2, HIPAA, and ISO 27001. - Strong programming or scripting skills (Python, Go, or similar). - Excellent partnership skills and a developer-empathetic mindset. - Strong affinity for working with LLMs and AI agents. - US Citizen and eligible for US security clearance. Requirements - Design, implement, and operate the shift-left security toolchain across Trase's CI/CD pipelines. - Define how findings are triaged, routed, and remediated. - Establish and enforce policy-as-code and pre-merge security gates. - Design and deploy Trase's production cloud security architecture. - Implement foundational controls including network segmentation and workload identity. - Build, codify, and maintain secure-by-default infrastructure modules in Terraform. - Operate and fine-tune Trase's SIEM and security telemetry pipeline. - Enhance and lead aspects of Trase's technical security incident response capability. - Operate the end-to-end vulnerability management lifecycle. - Partner closely with Engineering and the broader Security and Compliance team. - Mentor junior Security and Compliance engineers and members of the Engineering team. Benefits - Career track opportunity with potential for rapid advancement. - 100% employer paid, comprehensive health care including medical, dental, and vision for you and your family. - Paid maternity and paternity for 14 weeks at employees' normal pay. - Unlimited PTO, with management approval. - Opportunities for professional development and continued learning. - Optional 401K, FSA, and equity incentives available. - Mental health benefits available through Tara Mind. - Cost effective GLP-1 solutions available through Crux.

• End-to-End Product Engineering: Rapidly prototype and scale full-stack applications, ensuring seamless integration between UI, business logic, and ML inference. • Architectural Leadership: Design modular, extensible system architectures that support rapid iteration without accruing technical debt. • Technical Governance: Lead code reviews across the stack and serve as escalation point for engineering, infrastructure, and security decisions. • Risk & Remediation: Identify scalability bottlenecks and security vulnerabilities and present remediation strategies. • Bridge Research & Product: Translate experimental ML techniques into production-ready features. • Infrastructure & Compliance: Design infrastructure aligned with government audit requirements (e.g., HIPAA, FedRAMP). • Security-First Development: Implement IAM and secure data practices across the lifecycle. • AI-First Product Ownership: Drive conception and execution of AI-first products, maintaining a strong bias toward applying state-of-the-art capabilities in production environments.

• Turn Ideas into Products: Take loosely defined problems and transform them into concrete product directions, break down ambiguous concepts into structured technical approaches, and rapidly prototype and validate ideas using modern AI-augmented workflows. • Build 0→1 Across Incubations: Act as an early engineering force for new startups, build initial products, APIs, workflows, and prototypes that define the business, and help shape product direction alongside partners and founders. • Operate Like a Founder: Understand business context and define what should be built—not just how, evaluate tradeoffs across product, speed, and technical design, and adapt quickly as ideas evolve and new information emerge. • Build in an AI-Native Way: Use AI tools to accelerate development, structure prompts, workflows, and iterations intentionally, and demonstrate strong problem framing, decomposition, and iteration style.

• Rapidly prototype and build full-stack tools and visualizations to support researchers and entrepreneurs. • Design, implement, test, and debug code across front-end, back-end, and data pipelines. • Collaborate with research teams to translate cutting-edge ML techniques into production-ready solutions. • Work with entrepreneurs and users to gather requirements, incorporate feedback, and iterate on product development. • Develop and optimize robust pipelines for model fine-tuning, evaluation, and deployment. • Establish best practices for reliable and reproducible ML model development. • Contribute to the creation of scalable, high-performance infrastructure for AI-driven products.

• Define and evolve the long-term AI/ML research strategy and technical roadmap for Trase OS in alignment with product and platform direction. • Lead large-scale experimentation and prototyping efforts requiring significant compute infrastructure, translating frontier AI research into scalable, production-grade systems with measurable impact. • Drive original research and technical breakthroughs in agentic systems, autonomous execution, multi-agent orchestration, post-training and fine-tuning systems, SLM/LLM-based architectures, and applied AI infrastructure. • Design how models operate within long-lived execution environments, including agent workflows, tool use, planning, memory systems, reasoning, and human-in-the-loop controls. • Establish evaluation methodologies and reliability frameworks for autonomous systems, including benchmarking, regression testing, safety, controllability, and production behavior analysis. • Drive architecture decisions across orchestration, model serving, routing, inference, and infrastructure governance, including latency, reliability, and cost optimization. • Partner closely with engineering and product teams to operationalize research outcomes into deployable systems and enterprise workflows. • Build AI systems that operate reliably in regulated and constrained environments, including secure cloud, on-premise, and air-gapped deployments. • Contribute to the broader AI research community through technical papers, publications, conference participation, architecture proposals, and thought leadership. • Serve as a senior technical authority and mentor across the organization, influencing technical direction, research rigor, experimentation practices, and best practices across research, engineering, and product teams.

• Lead Capture Strategy • Develop and execute capture plans for priority opportunities across the DoD and broader federal market. • Partner with customer-facing teams and growth leaders to gather customer insight, shape requirements, and refine opportunity strategy before solicitation. • Build win themes, discriminators, competitor analysis, and teaming strategies that improve probability of win. • Support bid/no-bid decisions, stage-gate reviews, and pursuit of governance for the highest-priority deals. • Partner with finance, legal, and engineering to shape pricing strategy, cost narratives, and contract structures that are competitive, compliant, and executable. • Lead the transition from capture to award by ensuring alignment across customer need, solution approach, pricing, realistic timelines, and contractual path. • Support negotiations and contract finalization in partnership with legal, finance, and executive stakeholders. • Partner with proposal management and writing support to ensure proposals are compliant, persuasive, and tightly aligned to win strategy.