Sr. Java Full Stack Engineers (KDB+) $80/hr on W2

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