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Join Trojan Trading as a Backend Engineer to build scalable, high-performance microservices for on-chain trading technology in a dynamic remote environment.
Trojan Trading is at the forefront of crypto trading technology. It is a non-custodial trading and data platform, offering a unified base of operations where users retain custody of funds, data is live and accurate, execution is nearly instant and accurately priced, charting is simple and powerful, and every market is accessible. The team is intentionally small, bringing together only exceptional talent in crypto.
Key Responsibilities:
- Backend Development: Design, develop, and maintain robust backend services using TypeScript (Bun.js framework) to support trading functionality, tools/analytics for traders, third-party integrations, and more.
- Collaborate Across Teams: Work closely with designers, product teams, and users to align backend solutions with platform objectives.
- Performance Optimization: Ensure backend systems & database queries deliver top-tier speed for thousands of concurrent users without compromising on reliability.
- Code Quality: Uphold best practices by writing well-structured, efficient, and well-documented code.
- Problem Solving: Identify, debug, and resolve complex technical issues to maintain smooth platform operations.
Qualifications:
- Proficiency in Node.js/Bun.js and TypeScript with 5+ years of experience in backend development.
- Proficiency with building robust and optimized API endpoints.
- Experience in building backend systems serving a significant user base concurrently.
- Proven ability to work independently while driving projects to completion.
- Strong communication skills to work effectively within a cross-functional team.
- Experience working within a mid-sized engineer team.
- Experience working on backend systems for crypto trading platforms, DeFi applications, or other data-heavy services.
- Passion or experience in on-chain trading; being a part-time trader on Solana is a plus.
- Strong command of Postgres and/or Clickhouse, including design and optimization for high-performance high-reliability use cases.