Engineering Manager, Institutional Trading

Londonmid

EngineeringEngineering Manager

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Quick Summary

Overview

Blockchain is connecting the world to the future of finance. As the most trusted and fastest-growing global crypto company, it helps millions of people worldwide safely access cryptocurrency.

Key Responsibilities

People Leadership & Growth: Manage, coach, and grow a team of back-end engineers, including setting expectations, running performance reviews, and supporting career development, while actively recruiting new talent.

Technical Tools

anthropicawscppdockerkubernetespythonrustsqlmentoringperformance-managementstakeholder-management

Responsibilities

~1 min read

→People Leadership & Growth: Manage, coach, and grow a team of back-end engineers, including setting expectations, running performance reviews, and supporting career development, while actively recruiting new talent.
→Project & Delivery Ownership: Lead the planning, execution, and end-to-end delivery of cross-functional projects across trading, quant, and product teams. This includes owning roadmaps, risk management, prioritization, and communicating status to stakeholders.
→Technical Strategy & Excellence: Partner with quants and traders to define engineering roadmaps for core trading systems (OMS, algorithmic trading, analytics). Drive architecture reviews (Rust/Python) and champion best practices in software engineering (code quality, testing, observability) for high-availability crypto markets.
→Operational Improvement & Alignment: Continuously improve team development processes, on-call practices, and incident response to maintain stability. Remove blockers, resolve conflicts, and champion the adoption of AI coding assistants to increase team productivity.

Responsibilities

~1 min read

→Proven EM or Tech Lead experience delivering complex projects in trading or performance-critical domains.
→History of hiring, mentoring, and scaling high-performing back-end engineering teams.
→Deep technical expertise in low-latency systems; proficiency in Rust or C++, and Python is preferred for architectural guidance.
→Strong understanding of crypto markets, trading systems (OMS, connectivity, risk), and the ability to balance commercial P&L needs with engineering trade-offs.
→Excellent stakeholder management skills to align engineering, trading, and leadership teams.
→Experience leveraging AI coding assistants (e.g., Claude) and driving their adoption within a team.
→Proficiency with SQL, large-scale data, and cloud deployments (Docker, Kubernetes, AWS).
→Pragmatic problem-solver with a bias for action and accountability in volatile market conditions.