Member of Technical Staff, Platform Engineer (New Stealth Startup)
About The Position
Red Cell Partners is an incubation firm building and investing in technology-led companies across healthcare, cyber, and national security. Its new stealth startup is developing a platform to help mission-critical organizations in healthcare, government, and other regulated industries turn institutional knowledge into intelligence assets that improve AI accuracy, reliability, and impact in real-world workflows. The Member of Technical Staff, Platform Engineer (Full Stack) will productionize AI research and build scalable systems for model training, evaluation, and data collection. This remote, United States-based role focuses on architecting and scaling a reinforcement learning environments platform, developing large-scale data collection systems, and establishing engineering foundations that move research into reliable production. The engineer will work across the technology stack, with particular strength in backend systems, platform architecture, and infrastructure.
Requirements
- At least 6 years of professional experience building full-stack applications, backend systems, distributed systems, or platform infrastructure.
- Deep proficiency in TypeScript, React, and modern backend architecture.
- Strong experience designing and building scalable backend services, APIs, and data pipelines.
- Solid understanding of PostgreSQL, data modeling, distributed systems, and system design.
- Demonstrated experience building and operating production systems on AWS or GCP.
- Experience developing reliable, observable, and performant production systems.
- Ability to translate research or product requirements into maintainable technical architectures and implementations.
- Strong understanding of software engineering practices, including testing, code review, technical documentation, and production operations.
- Strong problem-solving skills and ability to diagnose complex issues across the technology stack.
- Ability to collaborate effectively with teams across functions and geographies.
- Strong written and verbal communication skills.
- U.S. citizenship is required.
Nice To Haves
- Experience working with model training, model evaluation, reinforcement learning environments, AI agents, or data-generation systems.
Responsibilities
- Architect and scale the reinforcement learning environments platform and the infrastructure required to support data collection at scale.
- Build and operate scalable backend services, APIs, and data-generation pipelines.
- Develop modular environment domains that integrate directly with model training and evaluation workflows.
- Translate research requirements and prototypes into reliable, production-quality systems.
- Build full-stack tools and interfaces for research, engineering, and operational workflows.
- Design resilient systems with a focus on reliability, observability, performance, maintainability, and security.
- Develop and maintain data models, storage systems, and platform integrations.
- Improve platform architecture and engineering practices to increase developer velocity and system quality.
- Partner with Research, Product, Engineering, and Operations teams to define technical requirements and advance a shared roadmap.
- Participate in technical design discussions and contribute to architecture and system-design decisions.
- Diagnose complex system issues and drive technical problems through resolution.
- Write clean, well-tested, maintainable code and help establish a high standard for engineering quality.
Benefits
- Career-track opportunity with potential for rapid advancement based on strong performance as the firm grows.
- 100% employer-paid comprehensive medical, dental, and vision coverage for employees and their families.
- Paid maternity and paternity leave for 14 weeks at employees' normal pay.
- Unlimited PTO, with management approval.
- Professional development and continued-learning opportunities.
- Optional 401(k), FSA, and equity incentives.
- Mental health benefits through Tara Mind.
- Cost-effective GLP-1 solutions through Crux.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
