Software Developer tasked with creating diagnostic software for the Autonomous Vehicle Integrity Platform. Collaborating with engineers and working in a hybrid environment for General Motors.
About the role
- Technical lead developing web3 solutions for a fast-scaling fintech that enhances financial connectivity. Overseeing blockchain development and backend services contributing to product innovation.
Responsibilities
- Design and deploy production-grade smart contracts across multiple blockchains (Solana, Ethereum, and others as the business expands)
- Own CaaS web3 capabilities — build secure, scalable blockchain systems for card-as-a-service, asset management, and financial use cases
- Lead wallet infrastructure discovery and development — architecting wallet solutions that support Reap's product roadmap
- Build backend services (Node.js/TypeScript) to support on-chain functionality, working closely with backend engineering
- Collaborate with product and business teams to translate ideas into clear, secure technical execution
- Contribute to architecture decisions, code reviews, and security audits
- Leverage AI tools and modern development practices to drive engineering efficiency and velocity
Requirements
- 5-8+ years in software development, ideally with backend engineering experience in Node.js/TypeScript and AWS (or similar cloud infrastructure)
- 3+ years building smart contracts on Solana (Rust) or Ethereum (Solidity), with strong expertise in at least one and openness to developing in a multi-chain environment
- Experience building wallet infrastructure (hot/cold wallet)
- Strong product sense and ability to take end-to-end ownership of technical initiatives
- Demonstrated use of AI tools to boost development efficiency
- Clear communication, collaboration, and commitment to code quality
- Fintech sector experience ideal
Benefits
- A high-impact role in a rapidly growing fintech startup
- Flexible hybrid work environment with a global, collaborative team
- Insurance coverage after probation
- Reap Card stipend
- Use of AI tools at work — and the space to learn, experiment, and grow with them
- A culture of innovation, inclusion, and continuous learning
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