Engineering Manager, Institutional Trading - Blockchain
8.0/10
Blockchain
Not specified
Remote
mid
23 days ago
cryptoweb3RustC++PythonSQLDockerKubernetesAWS
AI Summary
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Description
WHAT YOU WILL DO
- •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.
COMPENSATION & PERKS
- •Full-time salary based on experience and meaningful equity in an industry-leading company.
- •This is a role based in our London office, with a mandatory in-office presence four days per week.
- •Work from Anywhere Policy: You can work remotely from anywhere in the world for up to 20 days per year.
- •ClassPass - Unlimited vacation policy; work hard and take time when you need it.
- •Apple equipment.
- •The opportunity to be a key player and build your career at a rapidly expanding, global technology company in an emerging field.
- •Flexible work culture.
Requirements
WHAT YOU WILL NEED
- •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.
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