Job Description
Position: Sr. Java Full Stack Engineer
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Location: Remote (USA) Office location Jersey City, NJ
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Must-Have Skills:
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- Java & Spring Boot Development
- KDB+ / q Language Experience
- FIX Protocol / FIX Engine
- AWS Cloud
- Capital Markets / Trading / Brokerage Domain Experience
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Highly Preferred (Top Priority):
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- Low-Latency Trading Systems
- Kafka or 29West Messaging
- Python & Linux
- Event-Driven Distributed Systems
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We 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.
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- 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.
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Qualifications Required:
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- 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.
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