Junior Site Reliability Engineer

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

Job summary

Radley James seeks software engineers with an infrastructure focus or SREs to join a top-tier trading firm in New York. The role emphasizes keeping trading systems fast and reliable, with Python coding skills highly valued.

Ideal candidates have 1–3 years of experience (up to 5 considered), strong Kubernetes/Linux/Python/Bash skills, and an engineering degree. Expect backend work on trading systems and opportunities to learn across capital markets in a demanding tech-driven environment.

Qualifications

• 1–3 years of experience is the sweet spot; up to 5 years considered case by case.
• Skills with Kubernetes, Linux, Python and Bash.
• Engineering degree in computer science or related field.

Responsibilities

• Using SRE principles to ensure maximum uptime of trading systems, critical to business activity
• Learn the fundamentals of Trading Systems
• High code position - rewriting, debugging and building backend code for trading systems

Skills

Kubernetes

Linux

Python

Bash

Education

Engineering degree in Computer Science or related field

Job description

Overview

Opportunity for 1-5y exp. SRE's and Infra Facing SWE's to join a top tier Trading Firm

Please read carefully before submitting an application

You'll be working with a top tier high frequency trading business, putting the guardrails in place that keep trading systems running fast and accurately. It's an opportunity for software engineers with an infrastructure facing focus, or SRE's with strong coding ability in Python to break into one of the most rewarding and technology centric industries.

Responsibilities

• Using SRE principles to ensure maximum uptime of trading systems, critical to business activity


• Learn the fundamentals of Trading Systems


• High code position - rewriting, debugging and building backend code for trading systems

Requirements

• 1-3 years experience is the sweet spot. up to 5 years can be considered on a case by case basis


• Skills with Kubernetes, Linux, Python and Bash


• Willingness to learn and develop across trading systems and capital markets broadly


• Engineering degree in computer science or related engineering field