Who We Are

At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals.

Our Impact

Corporate Planning & Management (CPM) unifies Finance & Planning, Global Procurement, Product & Reporting and CPM Engineering teams to deliver business planning and analytics, expense management, third party risk management, sustainability strategy for our operations and supply chain, and governance strategies across the firm.

CPM Engineering provides engineering solutions that enable the firm to manage third-party spend & risk management, plan budgets, forecast financial scenarios, allocate expenses and support corporate decision making in-line with the firm’s strategic objectives.

Why does this role stand out:

1. Direct business impact - your work shapes how the firm plans, spends, forecasts, and makes strategic decisions.
2. Build solutions across data, automation, platforms, and decision-support tools, not just isolated applications.
3. Cross-functional exposure - partner closely with finance, procurement, product, and risk leaders across a global organization.
4. Complex, meaningful problems - work on systems that improve transparency, controls, efficiency, and scalability across enterprise operations.

We offer:

• The opportunity to work on high-impact platforms that directly influence firm-wide financial planning and operational resilience
• Access to modern cloud-native architectures, distributed systems, and large-scale data pipelines
• A forward-looking environment where AI tools, agentic frameworks, and intelligent automation are actively shaping the next generation of our solutions
• A collaborative, global team where you can learn from experts and grow your career

How You Will Fulfill Your Potential

As a Software Developer on our team, you will:

• Design, develop, and maintain full-stack applications across the entire software lifecycle from requirements gathering and architecture through implementation, testing and deployment
• Build responsive, intuitive experiences and robust back-end services that power financial planning, expense management, and risk platforms
• Leverage AI tools and techniques (e.g., code-generation assistants, LLM-powered automation, prompt engineering, Spec-Driven Development) to accelerate development, improve code quality, and enhance platform capabilities
• Contribute to the design and development of AI-driven and agentic solutions, including intelligent workflows, retrieval-augmented generation (RAG) pipelines, and automated decision-support systems
• Collaborate globally with sponsors, users, and engineering colleagues across multiple divisions to create end-to-end solutions that meet complex business requirements
• Participate in code reviews to ensure quality, maintainability, and adherence to engineering best practices
• Take technical ownership of features and components, managing multiple stakeholders and driving delivery within a global team
• Stay current with the latest advancements in AI/ML platforms, tools, and software engineering practices to continuously improve our solutions

Qualifications

Required

• Bachelor's or master's degree in computer science, Computer Engineering, or a similar field of study.
• 3+ years of proficiency in Java (preferred) or another major programming language (Python), with readiness to upskill where necessary
• Full-stack development experience - comfortable building both front-end (e.g., React, JavaScript/TypeScript) and back-end (e.g., Java, Spring Framework, APIs) components
• Strong analytical and problem-solving skills - experience with algorithms, data structures, and software design
• Excellent programming skills - developing, debugging, testing, and optimizing code
• Proficiency in utilizing AI tools for software development (e.g., AI-assisted coding, code review tools, LLM-based productivity tools)
• Foundational understanding of AI and agentic systems - familiarity with concepts such as large language models, prompt engineering, retrieval-augmented generation (RAG) etc.
• Knowledge of cloud-native solutions in AWS
• Comfortable with technical ownership, managing multiple stakeholders, and working as part of a global team

Preferred - Experience That Can Set You Apart

• Experience with distributed databases such as MongoDB and/or Elasticsearch
• Experience with open-source messaging systems like Kafka
• Systems experience in UNIX/Linux, especially in scaling for performance and debugging complex distributed systems
• Experience with API design - creating interconnected services, message buses, or real-time processing systems
• Exposure to GenAI techniques including RAG pipelines, model fine-tuning, agentic frameworks (e.g., LangChain, AutoGen), or embedding models and vector databases
• Familiarity with MLOps practices including CI/CD for ML, model deployment, and monitoring
• Knowledge of the financial industry - corporate planning, expense management, or risk functions

Goldman Sachs Engineering Culture

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. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.

Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here!

© The Goldman Sachs Group, Inc., 2026 All rights reserved.
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity.