Associate

About the Role

The Core Engineering team at Goldman Sachs is building and operating platforms and applications to prevent, detect, and mitigate regulatory and reputational risk. As a member of this team, you will work on mission-critical, high-quality software solutions using cutting-edge technology in a dynamic environment.

Key Responsibilities

• Partner globally with sponsors, users, and engineering colleagues across multiple divisions to create end-to-end solutions.
• Leverage various technologies including Java, JavaScript, TypeScript, React, APIs, GraphQL, Elastic Search, Kafka, Kubernetes.
• Innovate and incubate new ideas.
• Work on a broad range of problems, often dealing with large data sets, including real-time processing, messaging, workflow, and UI/UX.
• Be involved in the full software development life cycle: defining, designing, implementing, testing, deploying, and maintaining software across our products.
• Effectively use AI-assisted software development tools (e.g., GitHub Copilot, Devin, Claude Code, or equivalent) to improve developer productivity and reduce development cycle time.
• Apply AI tools to accelerate:
• code generation and refactoring.
• test creation and coverage improvement.
• debugging, root-cause analysis, and performance optimization.
• Use AI-assisted reasoning to understand complex codebases, rapidly prototype solutions, and improve code quality while maintaining strong engineering standards.
• Partner with peers and reviewers to validate, harden, and productionize AI-generated outputs, ensuring correctness, security, maintainability, and regulatory compliance.
• Identify opportunities where AI tooling can reduce manual effort, minimize rework, and support faster, higher-quality delivery to production.

Requirements & Tech Stack

• Expertise in Java development.
• Experience in automated testing and SDLC concepts.
• The ability to clearly express ideas and arguments in meetings and on paper.
• Hands-on proficiency with AI coding assistants such as GitHub Copilot, Claude Code, and Devin to expedite code authoring, refactoring, and debugging across all phases of the Software Development Life Cycle (SDLC).
• Effective utilization of AI pair-programming tools to generate boilerplate code, unit tests, and technical documentation.
• Application of established prompt engineering best practices.
• Practical integration of autonomous AI agents (e.g., Devin) for routine engineering tasks.
• Adoption of AI-driven code review tools.

Qualifications

• A Bachelor's or Master's degree in Computer Science, Computer Engineering, or a similar field of study.
• 2.5+ years professional software development experience.
• Demonstrated experience or a strong interest in leveraging AI-assisted developer tools to enhance engineering productivity and accelerate software delivery.
• Ability to critically evaluate AI-generated outputs and enhance them to production-grade quality.
• Proven ability to critically evaluate AI-generated outputs and refine them to meet production-grade standards of quality, reliability, and maintainability.

Desired Experience

• Experience with:
• UI/UX development.
• API design.
• message buses or real-time processing.
• relational databases.
• knowledge of the financial industry and compliance or risk functions.
• influencing and collaborating with stakeholders.