Senior Software Engineer, OKX

• Strong computer science fundamentals and frontend essentials — TypeScript, React, modern toolchains (Vite), browser internals, and state management. Depth beyond framework APIs
• A good sense of web performance, responsive design, and web security — you build experiences that are fast, adaptive across devices, and safe by default
• Hands-on creativity with AI-assisted development: you've built things around models — agents, harnesses, MCP tools, eval loops, CI gates — not just used autocomplete
• Sharp problem-solving: you root-cause ambiguous problems quickly and make sound calls with incomplete information
• Self-driven and resilient: you learn faster than expected, push hard deliveries through to completion, and contribute beyond your own scope
• A conviction that decisions should be data-driven — and the willingness to get your hands dirty building the instrumentation and infrastructure when it doesn't exist yet
• BS/MS in Computer Science or a related field from a strong program, or equivalent evidence of exceptional ability
• Proficiency in Mandarin Chinese is required to communicate effectively with our engineering and product teams across APAC

Desirable

• The Fiat team builds the money experiences of OKX. Beyond the payment rails — fiat deposits, withdrawals, and payment methods across 100+ markets — we own Simple Buy/Sell, the front door to crypto for both onshore and offshore markets, and Cards & Pay, the products taking OKX into the money app category and giving customers a whole new reason to connect with us
• We sit inside the Bay Area AI-Native Product & Engineering Center: we don't just use AI tools, we build agent harnesses, evaluation pipelines, and automation that lets a small team ship like a large one. We're looking for a front-end engineer who is sharp, curious, data-driven, and believes most "impossible" things simply haven't been automated yet
• Own and ship the money experiences of OKX — fiat deposit/withdraw, Simple Buy/Sell for onshore and offshore markets, and Cards & Pay —the surfaces used by millions of users
• Build AI-native engineering infrastructure: agent harnesses, reusable skills, E2E automation, and evaluation pipelines that multiply the whole team's output
• Make the product data-driven: instrument what you ship, build the tracking and experimentation foundations yourself when they don't exist, and let the numbers decide
• Drive frontend quality end-to-end — architecture, performance, testing, and server-driven UI systems that stay backward-compatible in production
• Work directly with product, design, and backend teams across the US and APAC to turn ambiguous requirements into shipped features
• Contribute tooling, patterns, and practices beyond your own team — what you build should raise the bar for the wider engineering group