Software Engineer – Global Investment Research – Vice President Goldman Sachs

Abundant Code; Birmingham; Hybrid; GBP 120,000 - 160,000; Full time

Job summary

Goldman Sachs in Birmingham/Greater London is seeking an experienced Software Engineer – GIR VP to help build scalable full‑stack solutions and AI-enabled research tools. You will collaborate with senior engineers to design end‑to‑end applications, implement advanced RAG components, and integrate AI services into GIR platforms.

The role emphasizes hands-on software engineering, cloud deployment on AWS, and active participation in SDLC processes within a fast‑paced, innovation‑driven environment.

Qualifications

• 7+ years hands-on software engineering with Java or Python and modern full-stack web tech
• Bachelor’s degree in CS, Software Eng, Applied Math, or related field
• Working knowledge of core AWS services incl. Lambda, ECS/Fargate, S3, EventBridge, CloudWatch, API Gateway
• Solid SDLC tooling, automated testing, Git, Docker, and CI/CD practices

Responsibilities

• Build end-to-end features with backend Java/Python and frontend tech
• Implement and optimize Gen AI agent workflows and RAG pipelines
• Evaluate and benchmark using Braintrust, AgentCore Eval, or similar
• Deploy AI components on AWS with Lambda, ECS/Fargate, S3, and API Gateway
• Participate in code reviews, automated testing, and CI/CD automation

Skills

Java

Python

Education

Bachelor's degree in Computer Science or related field

Tools

React

TypeScript

FastAPI

Spring Boot

Docker

Git

CI/CD

AWS Lambda

ECS/Fargate

S3

EventBridge

CloudWatch

API Gateway

Job description

Software Engineer – Global Investment Research – Vice President Overview

Company Name: Goldman Sachs

Job Role: Software Engineer – Global Investment Research – Vice President

Qualifications: Not specified

Category: I

Job Type: Full Time

Location: Birmingham, West Midlands, England, United Kingdom / Greater London, England, United Kingdom, United Kingdom

Requirements

What we're looking for

• 7+ years of hands‑on software engineering experience with proficiency in Java or Python, combined with modern full‑stack web technologies (e.g., React, TypeScript, FastAPI, Spring Boot).
• Bachelor’s degree in Computer Science, Software Engineering, Applied Mathematics, or a related quantitative field.
• Working knowledge of core AWS services, including Lambda, ECS/Fargate, S3, EventBridge, CloudWatch, and API Gateway.
• Solid understanding of standard SDLC tooling, automated testing, Git, Docker, and CI/CD automation.

Nice to have

• Exposure to financial domain data, investment research workflows, or enterprise content authoring tools.
• Experience implementing evaluation pipelines and prompt testing with Braintrust, AgentCore Eval, equivalent technologies, or custom benchmark harnesses.
• Practical experience building Gen AI applications using Google ADK, LangGraph, or equivalent agentic frameworks, vector databases, and AWS Bedrock.
• Practical understanding of token optimization, prompt caching, and latency reduction strategies.
• Familiarity with guardrail frameworks defending against prompt injection and unauthorized data access.
• Experience building asynchronous or event‑driven microservices across polyglot Java and Python stacks.

The role

At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Drive new businesses, redefine finance using AI, and seize opportunities at market speed.

In an era defined by AI, Engineering isn’t just central – it’s the driving force behind our business. Our dynamic environment demands innovative strategic thinking and immediate, impactful solutions. Ready to push the limits of digital possibility? Begin your journey here.

Goldman Sachs Global Investment Research (GIR) is seeking an Agentic Systems Engineer to build, enhance, and productionize intelligent research tools and automated agentic pipelines. You will collaborate with senior engineers to develop end‑to‑end full‑stack applications, implement advanced RAG components, and integrate AI services into mission‑critical GIR platforms.

What you’ll do

• Feature Engineering: Build and maintain end‑to‑end full‑stack features, integrating analyst‑facing frontends with backend APIs and microservices implemented in Java or Python.
• Gen AI & Agent Implementation: Implement and optimize advanced RAG pipelines and stateful multi‑agent workflows using Google ADK, LangChain, LangGraph, AWS Bedrock, or equivalent technologies, incorporating structured outputs, tool calling, and human‑in‑the‑loop steps.
• Evaluation & Benchmarking: Implement automated offline and online evaluation suites using tools such as Braintrust, AgentCore Eval, equivalent industry solutions, or custom test harnesses to assess contextual relevance, groundedness, and hallucination reduction.
• Cloud & Data Integration: Deploy and connect AI components with enterprise services on AWS, configuring Lambda, ECS/Fargate, EventBridge, S3, IAM policies, and API Gateway endpoints.
• Observability & Incident Support: Monitor model and service performance using CloudWatch and distributed tracing; triage production incidents, conduct root‑cause analyses, and optimize token/resource consumption.
• SDLC Discipline: Actively participate in peer code reviews, write automated unit and integration tests, maintain CI/CD pipelines, and document integration patterns and data models.
• Agile Collaboration: Coordinate with business stakeholders and cross‑functional teams in Agile sprints to translate research requirements into deliverable technical stories.

Visa sponsorship: check with employer