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Sr. Java Full Stack Engineers; KDB + W2

Job in Jersey City, Hudson County, New Jersey, 07306, USA
Listing for: Cybotic System
Full Time position
Listed on 2026-10-30
Job specializations:
  • Software Development
    Backend Developer, Java Developer, Software Engineer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 80 USD Hourly USD 80.00 HOUR
Job Description & How to Apply Below
Position: Sr. Java Full Stack Engineers (KDB+) $80/hr on W2

Location:
Remote (USA) Office location Jersey City, NJ

Must-Have

Skills:
  • FIX Protocol / FIX Engine
  • AWS Cloud
  • Capital Markets / Trading / Brokerage Domain Experience
Highly Preferred (Top Priority):
  • Kafka or 29

    West Messaging
  • 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., 29

    West, 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. Git Hub Copilot).
  • Experience with CI/CD tools such as Git Hub, Maven, Jenkins, Artifactory, and uDeploy.
  • Hands-on experience deploying applications to AWS or other cloud platforms.
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