Foundation Engineering, Backend AI Software Engineer, Vice President

Foundation Engineering, Backend AI Software Engineer, Vice President, Singapore Job Description SDLC ENGINEERING

Part of the Goldman Sachs’ Foundation 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.

We are seeking a highly skilled and motivated engineer lead to join our team at Goldman Sachs. This role is focused on designing, deployment, and management of agentic AI systems to enhance the software development lifecycle. The ideal candidate will be responsible for creating solutions to manage and optimize the performance of autonomous AI software engineering agents, while also providing technical leadership, mentorship, and guidance to other engineers on the team.

The successful candidate will work closely with cross-functional teams and foster a collaborative environment to ensure that the tools and services developed are seamlessly integrated into the existing development workflows, ultimately driving improvements in productivity across the organization. We look for creative collaborators who evolve, adapt to change and thrive in a fast‑paced global environment.

• Minimum 10 years of industry experience as a programming, software engineering, or similar job roles.
• General knowledge of multiple languages, and in-depth strong programming skills of at least one of:
  Golang, Python, Java, C++.
• Strong software engineering fundamentals.
• Familiarity with continuous integration, deployment pipelines, monitoring solutions.
• Comfortable managing multiple stakeholders, driving consensus, and influencing outcomes, strong problem solving and analytical skills.
• Proven experience in leading and mentoring engineering teams, including direct people management responsibilities such as performance reviews, career development, and fostering a collaborative team environment.

• BSc / MSc in relevant field (Computer Science, Engineering or related field).
• Experience with AI and machine learning technologies.
• Experience with Dev Ops, SRE, infrastructure as code, Terraform, AWS.
• General knowledge of Linux, Docker, Kubernetes.
• Experience with all stages in the lifecycle of developing and running large distributed systems.
• Knowledgeable about networking (TCP, IP, UDP, DNS, TLS, HTTP).

• Work with advanced AI technologies to enhance coding efficiency, productivity and developer experience.
• Be part of a forward-thinking team that values continuous improvement and ensures high-quality results.
• Develop expertise in areas such as CI/CD, SDLC, containerization, GenAI, and cloud computing.
• Stay updated with the latest technological advancements and best practices by engaging with industry leaders and vendors.
• Tackle real engineering challenges, contribute to globally scalable platforms, supporting global operations and enhancing the developer experience.

Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity.