As a Senior Software Engineer on the Consumer & Business Advanced Trading team, you'll architect and deliver Coinbase's next-generation trading systems for the IntX product, working from Singapore in close collaboration with the Trading team. This team builds the fastest, most reliable crypto trading infrastructure globally. You'll lead multi-quarter, cross-organizational initiatives that define how millions of customers trade, while mentoring engineers and raising the technical bar across the organization.
What you'll do:
- Own the technical vision and architecture for mission-critical trading systems, including order management, execution engines, and reliability infrastructure.
- Drive multi-quarter projects across multiple engineering teams from design through production delivery.
- Lead system design and code review processes that elevate engineering quality and set standards for the trading stack.
- Partner with Product Management and Design to align product strategy with long-term technical bets and roadmap priorities.
- Shape the strategic direction of the trading platform by identifying high-leverage technical initiatives and driving consensus across organizational boundaries.
- Deepen engineering talent across the team by coaching engineers at various levels and developing the next generation of trading infrastructure leaders.
Required Skills and Experience:
- 5+ years of software engineering experience with demonstrated ownership of large-scale distributed systems.
- Hands-on expertise in trading systems (traditional or crypto), with direct experience building or operating order management, execution, market data, or risk management components.
- Track record of leading complex, cross-team initiatives from ambiguous problem statements through delivered outcomes, with measurable impact on product or platform reliability.
- Demonstrated ability to translate product requirements into scalable system designs and communicate technical trade-offs to non-technical stakeholders.
- Experience with performant backend languages in production trading environments.
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
