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# Software Developer

- **Company:** The Goldman Sachs Group Inc
- **Location:** Dallas, TX, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Cloud Computing, Code Generation, Software Quality, Code Review, Computer Programming, Computer Engineering, Continuous Integration, Data Retrieval, Data Structures, Software Debugging, Distributed Data Store, Distributed Systems, Elasticsearch, Graph Database, Spring Framework, Python (Programming Language), Enterprise Messaging Systems, Open Source Technology, Productivity Software, Azure Machine Learning, Software Engineering, TypeScript, Data Logging, Real Time Systems, ReactJS, Large Language Models, Prompt Engineering, Generative AI, Backend, Information Technology, Apache Kafka, Machine Learning Operations, Front End Software Development, Api Design, Programming Languages
- **Published:** June 5, 2026
- **Apply:** https://www.dice.com/job-detail/af10483e-6bb3-4ecb-9133-9fac4095a39e

## About the Role

* 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 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

## Description

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 enterprise-wide solutions that cross data and platform boundaries, 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., * 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
 + Architect and deliver multiagent AI Systems using A2A protocol including orchestrator and subagent topologies
 + Build and maintain knowledge graph and RAG systems to enable document and data retrieval, querying and searching
 + Establish robust governance frameworks including logging, explainability, and auditability to ensure AI quality and reliability
 + Establish and document agentic software development best practices
 * 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


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