Foundation Engineering, Developer Productivity Software Engineer Lead, Vice President

DEVELOPER JOURNEY STRATEGY AT GOLDMAN SACHS

The Developer Journey Strategy focuses on investing in the developer experience to minimize friction, promote standardization, and leverage artificial intelligence (AI) to enable seamless delivery. By streamlining processes, implementing consistent practices, and integrating AI-driven tools and solutions, we empower developers to efficiently build and run products and platforms. This strategy aims to enhance productivity, foster innovation, and ensure high-quality outcomes by providing developers with the advanced tools, resources, and support they need to succeed.

The incorporation of AI not only automates routine tasks and optimizes workflows but also provides predictive insights and intelligent recommendations, further enhancing the development process.

Part of the Goldman Sachs' Core Engineering group's function is to provide best in class language support and tooling for our engineering community to facilitate the building, testing and deployment of their products. We strive for our tooling to improve product quality, developer productivity and increase opportunities for collaboration. Our aim is to innovate and drive technology solutions that will impact the bottom line for the firm.

By joining us, you will be part of a diverse global technical team focusing on solving critical business problems. You will be working at the heart of the developer experience, ensuring the code that is written by thousands of GS engineers is versioned securely, reviewed expertly, compiled quickly, tested comprehensively, and distributed widely.

This role is for a senior engineer lead to build out a developer productivity platform that fundamentally transforms how engineering teams manage code quality and development workflows. This role focuses on integrating AI-powered automation with developer portal engineering, creating seamless workflows that enhance code quality and developer productivity. The ideal candidate will be an active developer with an expert understanding of development practices in order to lead the build out of platforms to unify the developer experience and improve developer productivity.

This is an excellent opportunity for an engineer lead with a passion for improving developer productivity to build the next generation of intelligent developer tools that will be used by a large number of engineers daily. You'll have the unique opportunity to work with state‑of‑the‑art AI models, design sophisticated distributed systems, and directly impact engineering velocity and code quality across the entire organization.

As an engineer lead, you will also be responsible for providing technical leadership, mentorship, and guidance to a team of engineers, fostering their professional development and ensuring high‑quality outcomes.

This role demands an active practitioner who not only understands theoretical concepts but has demonstrable experience building production‑grade systems that can measurably improve developer productivity and code quality metrics. The responsibilities will include, but not limited to the following:

• Implement a developer portal that will aid engineering teams in streamlining developer tasks/assignments
• Implement an agentic code review system to help raise the bar on code quality
• Implement automated routing mechanisms for pull requests based on expertise, availability, and workload metrics
• Create notification and escalation systems for time‑sensitive developer tasks
• Develop dashboards and analytics tools to visualize team productivity and code review metrics
• Research and evaluate new technologies and software solutions to drive innovation and continuous improvement
• Collaborate with other engineers, product managers, and business stakeholders to ensure software solutions meet requirements and are delivered on time

• Programming Languages
  :
  Proficiency in Java, Python, Type Script/JavaScript, Go, or similar languages
• Software Development Lifecycle
  :
  Strong understanding of software development lifecycle and code review and quality best practices (with static analysis tools like…