Senior Full-Stack Engineer (Go)

What You'll Do
Collaborate with traders, researchers, and product managers to translate complex workflows into elegant UI solutions Design and implement high-performance, responsive front-end applications using a current-generation TypeScript framework such as Svelte, React, or Vue Design, build, and operate Go back-end services with security and performance built into their design, owning service boundaries and data contracts end-to-end Build reusable UI modules, component libraries, and SDKs for a modular, plugin-based platform, and integrate front-ends through typed SDKs and MCP-based interfaces Build real-time UIs that ingest and render high-frequency market and on-chain data from multiple streaming sources, using canvas-based charting (for example uPlot or TradingView Lightweight Charts) and D3.js for bespoke views Drive architecture and performance decisions for modular, extensible systems, maintain automated tests and code review, and mentor other engineers on best practices

Core Essentials
7+ years hands-on full-stack development, with production ownership on both back-end and front-end Strong, current TypeScript, HTML, and CSS with one or more modern front-end frameworks (Svelte, React, or Vue), and adaptability to work in a team's chosen framework Strong, current Go experience, able to design, build, and operate production Go services independently Proven experience handling large datasets and real-time updates from back-end sources such as WebSockets or Server-Sent Events, plus building reusable, well-structured UI components and shared abstractions Strong grasp of performance optimization and rendering strategies in data-heavy applications, including the JavaScript runtime Solid testing discipline, with unit and integration tests as a normal part of delivery Excellent cross-functional communication, plus familiarity with a major cloud platform (AWS, GCP, or Azure) and version control

Bonus Skills
Background or strong interest in trading systems or financial platforms, including prior hedge fund or proprietary trading work Experience with real-time, streaming, or on-chain / crypto market data Experience with MCP (Model Context Protocol) or other AI-native / agent integration Experience building developer platforms, SDKs, or shared component libraries, and with CI/CD, Docker, and observability tools such as Datadog, Grafana, or ELK