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

Cybotic System; Jersey City (NJ); Remote; USD 180,000 - 240,000; Full time

Job summary

Cybotic System is seeking a highly experienced software engineer to lead the design and development of next-generation trading systems from a remote-friendly hub serving the USA market. The role focuses on building scalable, resilient, and high-performance trading infrastructure with architecture that supports low latency and high throughput.

You will architect distributed, event-driven applications, collaborate across teams, mentor engineers, and drive innovation in a mission-critical

Qualifications

• 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.

Responsibilities

• 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.

Skills

FIX Protocol / FIX Engine

AWS Cloud

Capital Markets / Trading / Brokerage

Kafka

Event-Driven Distributed Systems

Education

Bachelor’s degree

Tools

GitHub

Maven

Jenkins

Artifactory

uDeploy

KDB+

Job description

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 29West 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., 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.