• Join our core engineering team, responsible for backend development of AI Agent products • Help build our open-source community and ecosystem around the models and products • Work with top researchers, optimizing model evaluation frameworks from the engineering side • Build data flywheels, and improving model performance

• 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) and 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.

• Designing, implementing, and maintaining APIs and services. • Identifying and solving complex technical challenges creatively and effectively. • Nurturing a team culture that fosters collaboration and high performance. • Providing guidance and support to team members, helping them develop their technical skills. • Monitoring and optimizing key performance metrics.

• Build, scale, and maintain backend and frontend services that power Insider’s core analytics systems, which process hundreds of thousands of events per second, manage terabytes of data, and serve real-time insights across 9+ global products • Maintain and evolve large-scale data stores, ensuring fast, reliable access to analytics data at massive scale • Work on high-throughput, low-latency systems used by both internal teams and customer-facing dashboards • Contribute to event ingestion pipelines, API development, data enrichment, and metric generation flows • Collaborate with backend and data engineers to continuously improve performance, reliability, and observability • Write clean, modular, and testable code using Go and Node.js, focusing on building systems that scale