Leads the architecture and development of scalable, low-latency, event-driven trading systems. Designs asynchronous processing and resilient messaging services, optimizes platform performance, delivers end-to-end trading workflows, mentors engineers, and supports production environments through on-call rotations. Requires expertise in Java, Python, Linux, messaging systems, time-series databases, FIX, capital markets, CI/CD, and cloud deployment.
This is a remote position.
The RoleWe are seeking a highly experienced software engineer to lead the design and development of next-generation trading systems. This is a hands-on technical leadership role focused on building scalable, resilient, and high-performance trading infrastructure. You’ll collaborate across teams, mentor engineers, and drive innovation in a mission-critical environment.
- Architect and develop distributed, event-driven trading systems optimized for low latency and high throughput.
- Design and implement asynchronous processing frameworks and resilient messaging services.
- Collaborate with internal and external teams to deliver robust, end-to-end trading workflows.
- Lead performance tuning and optimization efforts across the platform.
- Mentor junior engineers and promote engineering best practices.
- Support production and non-production environments, including participation in a weekly on-call rotation.
- Bachelor’s degree in Computer Science, Engineering, Information Technology, or equivalent.
- 10+ years of hands-on software design and development experience.
- Expertise in Java, Python, and Linux.
- Deep experience with low latency messaging systems (e.g., 29West, Kafka).
- Proficiency in KDB+ or other time-series databases.
- Strong background in building scalable, distributed, asynchronous, and event-driven applications.
- Advanced knowledge of low latency design patterns and performance optimization techniques.
- Experience with Capital Markets or Brokerage systems, especially order management.
- Solid understanding of the FIX protocol and FIX engines.
- Worked with AI developer assist tools (e.g. GitHub Copilot).
- Experience with CI/CD tools such as GitHub, Maven, Jenkins, Artifactory, and uDeploy.
- Hands-on experience deploying applications to AWS or other cloud platforms.
- Ability to understand complex, end-to-end systems and identify performance, scalability, or resilience bottlenecks.
- Strong analytical, communication, and organizational skills.
- Ability to manage multiple tasks and thrive in a collaborative team environment.
- Self-driven innovation and ability to work with leadership.
- Willingness to support production systems and participate in on-call rotations, including occasional weekend support.
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