Engineering Manager, Institutional Trading

You will manage and grow a team of back-end engineers, partnering with traders, quants, product, and operations to deliver the internal Order Management System, algorithmic trading strategies, and analytics platforms. You will translate trading priorities into clear roadmaps, remove blockers, and ensure reliable, scalable systems are delivered on time. You will drive architecture reviews (Rust and Python), champion code quality, testing, and observability, and improve on-call practices and incident response. You will introduce and promote AI coding assistants to increase team productivity and provide technical guidance for low-latency, high-availability trading systems.

Responsibilities

Manage, coach, and grow a team of back-end engineers
Plan and deliver cross-functional projects across trading, quant, and product teams
Define and own engineering roadmaps for trading systems and analytics
Drive architecture reviews and technical direction for core systems
Champion code quality, testing, and observability practices
Improve on-call practices and incident response procedures
Remove blockers and resolve cross-team conflicts
Promote adoption of AI coding assistants to boost productivity

Requirements

Proven engineering manager or technical lead experience delivering complex projects in trading or performance-critical domains
Experience hiring, mentoring, and scaling back-end engineering teams
Deep technical expertise in low-latency systems
Proficiency in Rust or C++, and familiarity with Python
Strong understanding of crypto markets and trading systems including OMS, connectivity, and risk
Excellent stakeholder management skills
Experience with SQL, large-scale data, and cloud deployments (Docker, Kubernetes, AWS)
Experience leveraging AI coding assistants

Benefits

Equity allocation
Work from Anywhere up to 20 days per year
ClassPass
Unlimited vacation
Apple equipment