Full-Stack Software Engineer, Credit Tech – Real-Time AI (London)

Goldman Sachs; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

Goldman Sachs in London is seeking a senior full-stack developer to join the Credit Technology team within Fixed Income, Currencies & Commodities Technology.

You'll collaborate with Credit Trading and Sales to build workflow tools for quoting, data analytics, and AI workflow integration, while ensuring low-latency, robust systems.

The role requires a strong background in Java or C++, TypeScript/React, and real-time data processing, with a passion for learning and innovation.

Qualifications

• Bachelor / master’s degree in computer science or a closely related field.
• Minimum 6 years of experience in software development.
• Expertise in Java and/or C++ with a multi-threaded/concurrent app track record.
• Proficiency in TypeScript, React, HTML5/CSS3, and state management (Redux/Zustand).
• Experience with real-time data processing and distributed systems.
• Experience in electronic trading or financial markets.
• Ability to analyze complex data to derive actionable insights.
• Familiarity with automated testing, DevOps, and CI/CD practices.
• Interest in using AI tooling and ML in development workflows.

Responsibilities

• Build workflow tools spanning quoting, data analytics and AI workflow integration.
• Collaborate with Credit Trading and Sales desks and engineering teams globally to deliver end-to-end solutions.

Skills

Java

C++

TypeScript

React

Redux/Zustand

HTML5/CSS3

Distributed systems

Multithreading

Real-time data

Electronic trading

Data analysis

Automated testing

DevOps

CI/CD

AI tooling

Education

Bachelor/Master in Computer Science or related field

Job description

Goldman Sachs in London is seeking a senior full-stack developer to join the Credit Technology team within Fixed Income, Currencies & Commodities Technology.

You'll collaborate with Credit Trading and Sales to build workflow tools for quoting, data analytics, and AI workflow integration, while ensuring low-latency, robust systems.

The role requires a strong background in Java or C++, TypeScript/React, and real-time data processing, with a passion for learning and innovation.