This role is for a senior lead engineer 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 a hands-on engineer 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.
Responsibilities
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
Requirements
Programming Languages: Proficiency in Java, Python, TypeScript/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 SonarQube)
AI Familiarity: Basic understanding of machine learning concepts and LLM integration patterns
CI/CD: Expertise with GitLab CI, GitHub Actions, or similar.
Platform Experience: Experience with Backstage, Port, or other similar developer portals
Cloud \& Infrastructure: Experience with Kubernetes, Docker, and ideally AWS (or similar)
Experience Level: Minimum 5 (for Associate)/ 10 (for Vice President) years with active development experience
ABOUT GOLDMAN SACHS
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Opportunity Overview
CORPORATE TITLE
Vice President
OFFICE LOCATION(S)
Singapore
JOB FUNCTION
Software Engineering
DIVISION
Engineering Division