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# The Core Engineering, Software Engineering, New York, Associate

- **Company:** The Goldman Sachs Group Inc
- **Location:** New York, NY, United States
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Cloud Computing, Code Generation, Software Quality, Code Review, Computer Programming, Computer Engineering, Continuous Integration, Data Retrieval, Data Structures, Data Systems, Software Debugging, Distributed Data Store, Distributed Systems, Elasticsearch, Graph Database, Spring Framework, Python (Programming Language), Machine Learning, 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, Data Management, Machine Learning Operations, Front End Software Development, Api Design, Programming Languages
- **Published:** August 27, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/87374865/1

## 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

The Core Engineering builds and operates the platforms, applications, data solutions, models, and analytics that power critical processes for The Core divisions of the firm (e.g., Risk, responsible for the risk profile of firm activities; Controllers, responsible for the financial control and reporting obligations; Compliance, responsible for the firm's compliance, regulatory, and reputational risks; Corporate Treasury, responsible for the firm's liquidity, funding, balance sheet, etc.; and Human Capital Management, responsible for attracting, developing, and managing a global workforce). A centralized engineering structure in support of The Core enables a common platform model and operating framework that promotes consistent governance and scalable solutions, leveraging cloud, AI, and machine learning for innovation and efficiency. The Core Engineering's 2,000+ engineers and strats deliver engineering, data, analytics, and quantitative capabilities within six business units:

 * Metrics & Analytics Platforms: responsible for the measurement and management of the firm's risk, capital, and liquidity for The Core functions
 * The Core Strats: responsible for the development and implementation of models and other quantitative methodologies, including the accuracy and attribution of modeled metrics
 * Financials & Reporting: responsible for facilitating the production of the firm's financials and a wide range of reporting functions
 * Non-Financial Risk & Controls: responsible for non-financial risk and control processes
 * Enterprise Platforms: responsible for platforms and applications that support critical operational processes across The Core such as payments, people processes, and procurement
 * Shared Services: responsible for driving the adoption of consistent engineering strategy, including data platforms, cloud, and AI enablement, as well as the management of technology risk

OUR IMPACT

The Core Engineering unifies Finance & Planning, Global Procurement, Product & Reporting 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.

The Core 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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