Senior Rust Backend Engineer

In partnership with one of the largest financial conglomerates, we aim to bring the majority of Japanese equities on-chain, creating a secure, transparent, and high-performance trading infrastructure that can support institutional volumes while remaining accessible to retail participants. We are building a next-generation decentralized exchange with a fully on-chain order book. Our system is built with a custom state transition function and consensus layer, purpose-designed for high-performance, low-latency trading. The goal is to deliver a trustless platform that matches the speed and efficiency of traditional trading engines while providing full transparency by running execution as close as possible to the blockchain itself.

We are seeking a Senior Rust Backend Engineer experienced in building high-performance, reliable trading APIs (HTTP & WebSocket). You will be responsible for designing, implementing, and optimizing the backend services that power our exchange interfaces - ensuring low latency, resilience, and correctness under load.

You’ll work on high-throughput, real-time systems that handle order and trade data ingestion, manage live WebSocket feeds, and maintain internal state consistency from streaming market events. The ideal candidate is both a strong Rust engineer and a system thinker, capable of reasoning about concurrency, data flow, and observability in production environments.

This role offers an opportunity to shape the architecture of our trading backend at an early stage, working alongside a distributed team of seasoned engineers building next-generation financial infrastructure.

• →Own the architecture and technical direction of high-performance trading APIs (HTTP & WebSocket) supporting low-latency order entry, market data distribution, and account state updates.
• →Lead the design and implementation of structured concurrency using the Tokio runtime, defining best practices for task lifecycle management, cancellation semantics, backpressure, and graceful degradation under load.
• →Develop and maintain real-time state ingestion pipelines:
  • →Process append-only logs (e.g., trades, order updates, book diffs).
  • →Rebuild local states efficiently using snapshot + diff application.
• →Model trading-related data structures, including orders, fills, trades, positions, funding, and liquidation logic.
• →Implement WebSocket connection logic, including upgrade handling, frame parsing, and data fanout for subscribed clients.
• →Design observable backend systems with rich metrics, structured logging, and distributed tracing for performance insights and failure analysis.
• →Collaborate with system and infrastructure engineers to continuously improve performance, scalability, and fault tolerance.
• →Write comprehensive unit, integration, and load tests to ensure stability under production conditions.

• 5+ years of professional backend engineering experience, with 3+ years of Rust in production.
  • Strong experience with the Tokio async runtime and concurrent programming patterns.
  • Deep understanding of structured concurrency and robust handling of spawned task cancellation.
  • Hands-on experience with HTTP and WebSocket frameworks such as Hyper or similar.

• Solid understanding of CEX/DEX systems and trading models.
• Familiarity with data modeling for trading entities (orders, trades, positions, funding, mark price, margin, liquidation logic, etc.).
• Prior hands-on trading or market data experience (personal or professional).

• Expertise in real-time data streaming and processing systems.
• Ability to design systems that rebuild local state efficiently from snapshots and diffs.
• Familiarity with replay, recovery, and correctness guarantees in event-driven systems.

• Understanding of connection upgrades, frame parsing, and data fanout for subscribed clients.

• Ability to design and instrument systems for metrics, logging, and tracing.
• Experience with Prometheus and OpenTelemetry in production.
• Track record of diagnosing and resolving performance bottlenecks and production incidents.

• Deep understanding of lock-free or lock-avoidant data structures
• Experience designing cache-friendly data layouts and optimizing for memory locality in latency-sensitive systems.
• Proficiency in profiling CPU and memory performance and able to diagnose and optimize latencies in real-time event pipelines

• Familiarity with Docker-based environments and CI/CD pipelines.