Member of Technical Staff, Platform Engineer (Full Stack)
R
Red Cell PartnersAI platform
Remote (USA); this is a remote, United States-based roleFull-TimeStaff
Salary$200,000-350,000 + equity
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Job Details
- Experience
- 6+ years of professional experience
- Required Skills
- AWSPostgreSQLGCPTypeScriptReactData modelingDistributed Systems
Requirements
- Have 6+ years of professional experience building full-stack applications, backend systems, distributed systems, or platform infrastructure.
- Demonstrate deep proficiency in TypeScript, React, and modern backend architecture.
- Have strong experience designing and building scalable backend services, APIs, and data pipelines.
- Have a solid understanding of PostgreSQL, data modeling, distributed systems, and system design.
- Have experience building and operating production systems on AWS or GCP.
- Have experience developing reliable, observable, and performant production systems.
- Be able to translate research or product requirements into maintainable technical architectures and implementations.
- Bring strong software engineering practices, including testing, code review, technical documentation, and production operations.
- Experience with model training, model evaluation, reinforcement learning environments, AI agents, or data-generation systems is preferred.
Responsibilities
- Architect and scale the reinforcement learning environments platform and the infrastructure required for data collection at scale.
- Build and operate scalable backend services, APIs, and data-generation pipelines.
- Develop modular environment domains that integrate 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 focused on reliability, observability, performance, maintainability, and security.
- Develop and maintain data models, storage systems, and platform integrations.
- Improve platform architecture and engineering practices.
- Partner with Research, Product, Engineering, and Operations to define technical requirements and advance a shared roadmap.
- Diagnose complex system issues and drive technical problems through resolution.
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