About The Position

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, Controllers, Compliance, Corporate Treasury, and Human Capital Management). 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, The Core Strats, Financials & Reporting, Non-Financial Risk & Controls, Enterprise Platforms, and Shared Services. As a Vice President within our Core Enterprise Platform engineering group, you will serve as a technical architect and organizational leader, driving critical initiatives forward and providing strategic direction to global agile teams. In this role, you will lead high-priority, greenfield development in support of Goldman Sachs’ strategic OneGS transformation initiative. Our legacy-free team is focused on building modern, cloud-native applications from scratch on AWS, leveraging cutting-edge AI capabilities and scalable data solutions to power the firm’s global operations. You will be responsible for the end-to-end delivery of these mission-critical platforms, creating solutions ranging from deterministic automation to advanced agentic workflows. Our team of engineers builds solutions to the most complex problems, developing cutting-edge software and platforms that form the core of our business and enable transactions to move in milliseconds. We provide real-time access to essential information and process millions of data points daily to inform firm-wide market insights and strategies. Your role is to design, own, and continuously improve these solutions, driving their growth and impact throughout the organization, championing engineering best practices, and leading organizational change to maximize their impact. This position provides a unique opportunity to gain subject matter expertise in both technology and finance, and to directly drive initiatives alongside colleagues and senior management from across the business, Risk, Finance, and Engineering to align technical execution with overarching strategic goals.

Requirements

  • Bachelor’s or master’s degree in computer science or related technical discipline
  • 8-12 years of hands-on software development, including lead developer roles
  • Experience architecting solutions on Cloud (ex. AWS, GCP, Azure)
  • Experience with integrating LLMs into enterprise workflows
  • Experience utilizing AI coding tools such as Copilot or Claude Code for development
  • Experience developing preferably in Java or Python, competent in traditional (RDBs) and/or modern datastores (ex. Snowflake, Dynamo DB, Mongo DB)
  • Proven experience building and launching new software applications from scratch (greenfield development)
  • A strong passion for and history of solving complex, multi-faceted problems in a fast-paced environment
  • Strong full-stack technical design, development skills and experience
  • Experience managing engineering teams, conducting performance reviews, and guiding career development for senior and junior staff
  • Demonstrate ability to lead organizational change, influence engineering culture, and drive process improvements
  • Excellent communication skills including experience speaking to technical and business audiences globally

Nice To Haves

  • Preferred previous experience working in the finance, banking, or FinTech industry.
  • Familiarity with financial data and regulatory environments is a significant plus.

Responsibilities

  • Design and implement scalable cloud-native business systems.
  • Manage, mentor, and grow a high-performing team of software and AI engineers.
  • Foster a culture of continuous learning, collaboration, and technical excellence.
  • Run AI driven spec driven development SDLCs to solve complex financial and technical problems.
  • Champion and enact organizational change. Streamline engineering processes, improve cross-functional workflows, and drive the adoption of new technologies and best practices across the department.
  • Maintain strong organizational oversight of multiple concurrent projects, ensuring they are delivered on time, within scope, and to the highest quality standards.
  • Build and maintain key financial metric calculation models and associated infrastructure to support forward-looking business strategies and decisions in an evolving regulatory landscape.
  • Work closely with a wide range of stakeholders globally, across multiple divisions of the firm.
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