SwapRail Jobs

Backend Engineer

SwapRail

Backend Engineer

Reposted 23 Hours Ago

Remote

Hiring Remotely in USA

Mid level

Remote

Hiring Remotely in USA

Mid level

Design and implement scalable backend services and APIs for SwapRail, including routing engines, execution services, data pipelines, simulation/validation layers, and observability. Integrate on-chain and off-chain data sources, optimize for low-latency high-throughput execution, and collaborate with frontend and wallet teams.

The summary above was generated by AI

Design and build the core backend systems powering SwapRail, including APIs, routing engines, execution services, and data pipelines.

Location: Remote / Work from Home

Type: Part-time preferred / Full-time available

Responsibilities

- Design and implement scalable backend services and APIs

- Build routing and aggregation logic for swap execution across multiple liquidity sources

- Integrate on-chain and off-chain data sources (RPC nodes, indexers, third-party APIs)

- Develop simulation and validation layers for transaction execution

- Optimize system performance for low-latency and high-throughput scenarios

- Design data models for quotes, routes, transactions, and execution states

- Implement monitoring, logging, and observability across services

- Collaborate with wallet and frontend teams to ensure consistency in execution flows

Requirements

- Strong experience with Node.js / TypeScript / Go / Rust

- Experience building high-performance backend systems

- Strong understanding of asynchronous systems and concurrency

- Experience with PostgreSQL and data modeling

- Familiarity with microservices architecture and distributed systems

- Experience integrating blockchain data or Web3 systems

Nice to Have

- Experience with DeFi protocols or aggregators (1inch, 0x, Uniswap)

- Experience building trading or execution systems

- Experience with blockchain indexing (The Graph, custom indexers)

- Understanding of MEV, routing optimization, and slippage control

- Experience with caching layers (Redis) and performance optimization

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