Software Engineer at Jump Trading, New York, NY

Neolife Updates; New York (NY); On-site; USD 200,000 - 250,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

HSA/FSA

Parental leave

Retirement plan

Paid vacation

Job summary

Jump Trading in New York, NY is seeking a Software Engineer to help build and improve platforms that power global financial markets. You will collaborate with engineers and cross-functional partners to develop tools, systems, and infrastructure, emphasizing scalability, reliability, and performance.

The role requires 5+ years of Python distributed systems experience, Linux fluency, and data-intensive application work.

Qualifications

• 5+ years building large-scale distributed Python systems.
• Experience with Linux environments.
• Data-intensive applications expertise.
• Bachelor's degree in CS/CE.

Responsibilities

• Build and improve platforms and services supporting core operations.
• Collaborate with engineers and cross-functional partners to develop tools, systems, and infrastructure.
• Enhance scalability, reliability, and performance of production systems.

Skills

Python

Linux

Data pipelines

Distributed systems

Autonomy

Education

BS in CS/CE

Tools

Docker

Kubernetes

Job description

Jump Trading is actively seeking a Software Engineer to join its New York, NY office on a full-time basis. Posted on September 29, 2026, this opportunity invites exceptional technologists to contribute to platforms that power global financial markets. The application window remains open until November 29, 2026.

Software Engineer at Jump Trading — Role Overview

Jump Trading empowers talent in mathematics, physics, and computer science to push scientific boundaries and apply cutting-edge research to real-world financial systems. The firm's culture rewards fearlessness, creativity, intellectual honesty, and a relentless competitive streak, all anchored in mutual respect and collaborative innovation.

As a Software Engineer, you will join a team of technologists building and improving the platforms and services that support core business operations. You will partner with engineers and cross-functional stakeholders to develop new tools, systems, and infrastructure. Collaboration is central to the role — you will work closely with teammates to enhance the scalability, reliability, and performance of production systems. By strengthening critical infrastructure used across the organization, your contributions will have an outsized impact on engineering productivity as the company continues its growth trajectory.

Key Qualifications

• Experience: At least 5+ years of professional experience building large-scale distributed systems using Python.
• Platform knowledge: Hands‑on experience working within a Linux environment.
• Data expertise: Proven success working with large data sets or data-intensive applications.
• Analytical rigor: Strong problem‑solving abilities paired with genuine intellectual curiosity.
• Autonomy: Self-directed mindset, comfortable taking ownership of projects and responsibilities.
• Education: Bachelor's degree in computer science, computer engineering, or equivalent.
• Availability: Reliable and predictable presence.

Compensation and Benefits

Jump Trading offers a competitive annual base salary ranging from $200,000 to $250,000 USD, along with discretionary bonus eligibility. The comprehensive benefits package includes:

• Medical, dental, and vision insurance
• HSA, FSA, and Dependent Care options
• Employer-paid group term life and AD&D insurance
• Voluntary life and AD&D coverage
• Paid vacation plus holidays
• Retirement plan with employer match
• Paid parental leave
• Wellness programs

Application Tips for Engineering and IT Professionals

• Showcase distributed systems depth: Highlight specific Python projects involving concurrency, fault tolerance, or horizontal scaling. Reference measurable performance improvements such as reduced latency percentages or increased throughput.
• Demonstrate Linux fluency: Beyond basic command-line usage, mention experience with shell scripting, process management, kernel tuning, or containerization technologies like Docker and Kubernetes.
• Quantify data-handling experience: Whether you have worked with Apache Kafka, Spark, or custom data pipelines, describe the volume and velocity of data you managed and how you reasoned about bottlenecks.
• Highlight cross-functional collaboration: Reference instances where you translated business requirements into technical specifications or drove initiatives spanning multiple engineering groups.