59 new jobs

• Build and maintain trading engines for various order types and automated execution strategies.
• Integrate with multiple Decentralized Exchanges (DEXs) and Automated Market Makers (AMMs) across diverse blockchain networks.
• Design and optimize on-chain transaction flows with strict requirements for low latency and high reliability.
• Scale backend systems to efficiently handle thousands of trades daily with minimal downtime and maximum throughput.
• Collaborate closely with Quant Researchers and engineers to translate, implement, and optimize systematic trading strategies.
• Manage and improve database interaction (PostgreSQL with Prisma ORM) and cloud-based deployment.

Must have:

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
• English proficiency sufficient for technical discussions.
• 3–5 years of experience in backend development with a strong background in Node.js and TypeScript.
• Prior hands-on experience in blockchain/Web3 development, with a deep understanding of either the Ethereum Virtual Machine (EVM) or Solana ecosystem.
• Expertise in Node.js and TypeScript.
• Experience with PostgreSQL and an understanding of ORM tools like Prisma ORM.
• Proficient with Web3 libraries and DeFi SDKs for robust smart contract interactions and secure transaction management.
• Familiarity with AWS services such as RDS, Lambda, and ECS for deployment and scalability.
• Solid familiarity with the DeFi ecosystems, including the mechanics of DEXs and AMMs.
• Demonstrated experience in high-frequency or low-latency systems is highly preferred.

Nice to have:

• Exposure to additional blockchain networks beyond EVM and Solana.
• Experience implementing observability and reliability tooling (e.g., Prometheus, Grafana) for mission-critical trading systems.
• Knowledge of security best practices for key management and secure transaction signing in a trading context..

• Work with a global team building high-impact trading technology.
• Gain exposure to cutting-edge tools in real-time systems, market data, and automation.
• Flexible working environment with a strong engineering culture.
• Direct involvement in real-world trading systems that move millions daily.
• A significant performance-based bonus, potentially equivalent to several months' salary, based on results.
• Flexible working hours and a hybrid work model are available following the probationary period.
• The opportunity to collaborate directly with an international team of professionals.