Full-Stack Software Engineer — Trading Platform

Selby Jennings; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Selby Jennings is seeking a Full Stack Software Engineer for systematic trading technology. You will join a small, collaborative team building the firm's core trading platform, spanning data ingestion, model execution, order generation, execution, and P&L reporting.

You'll own features end-to-end and contribute across the stack, with direct impact on trading operations. The role offers ownership in a fast-paced, research-driven environment that emphasizes AI-powered engineering workflows,

Qualifications

• 2–7 years of software engineering experience with Python and TypeScript.
• STEM Bachelors Degree with a 3.5 GPA or higher.
• Strong backend development experience with modern application architectures.
• Experience building APIs and distributed systems.
• Familiarity with containerization technologies and cloud-native development.
• Hands-on experience with Git, GitHub/GitLab, and CI/CD pipelines.
• Full stack capabilities with the ability to build functional and intuitive frontend experiences.

Responsibilities

• Design, develop, and maintain scalable backend services and APIs.
• Build functional, clean user interfaces for traders, quants, and business users.
• Work with cloud infrastructure, containers, and CI/CD pipelines.
• Partner closely with developers, quants, and business stakeholders to deliver new functionality.
• Contribute across multiple projects rather than being siloed to a single application.
• Take ownership of systems and become a key contributor within a lean engineering organization.

Skills

Python

TypeScript

Education

STEM Bachelors Degree

Tools

Git

GitHub/GitLab

CI/CD

Docker

Cloud

Job description

Selby Jennings is seeking a Full Stack Software Engineer for systematic trading technology. You will join a small, collaborative team building the firm's core trading platform, spanning data ingestion, model execution, order generation, execution, and P&L reporting.

You'll own features end-to-end and contribute across the stack, with direct impact on trading operations. The role offers ownership in a fast-paced, research-driven environment that emphasizes AI-powered engineering workflows,