Job 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 YOUR Impact: 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. RESPONSIBILITIES AND QUALIFICATIONS: • 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. SKLLS AND EXPERIENCE WE ARE LOOKING FOR • 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 • Preferred previous experience working in the finance, banking, or FinTech industry. Familiarity with financial data and regulatory environments is a significant plus.

Requirements

Must-haves

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
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.
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

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.

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Keywords to mirror

aimachine learningagileawsgcpazurejavapython

Platform: goldman-sachs
Effort: medium

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