Core Engineering, Developer Productivity Software Engineer, Executive Director, Singapore

GOLDMAN SACHS SERVICES (SINGAPORE) PTE. LTD.; Singapore; On-site; SGD 140,000 - 180,000; Full time

Job summary

A leading global investment banking firm in Singapore seeks a Senior Lead Engineer to build a developer productivity platform. The role entails integrating AI-driven tools to improve code quality and workflows. Ideal candidates will have 10+ years of active development experience in languages such as Java and Python, with a strong understanding of CI/CD processes and cloud infrastructures. This position offers the chance to directly impact engineering productivity within a modern tech environment.

Qualifications

• Proficiency in programming languages such as Java, Python, TypeScript/JavaScript, or Go.
• Strong understanding of the software development lifecycle and code review best practices.
• Basic understanding of machine learning and LLM integration.
• Experience with CI/CD tools like GitLab CI or GitHub Actions.
• Experience with developer portals like Backstage or Port.
• Experience with cloud services like AWS, Kubernetes, and Docker.
• Minimum of 10 years in software development.

Responsibilities

• Implement a developer portal for engineering teams to streamline tasks.
• Create an agentic code review system to enhance code quality.
• Implement automated routing for pull requests based on expertise.
• Develop tools for visualizing team productivity and code metrics.
• Collaborate with engineers and stakeholders to meet software requirements.

Skills

Proficiency in Java, Python, TypeScript/JavaScript, Go

Software development lifecycle understanding

AI familiarity

Expertise with GitLab CI, GitHub Actions

Experience with Kubernetes and Docker

Active development experience (10+ years)

Job description

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 10 years with active development experience

About Goldman Sachs

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We\'re committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: Disability statement available at Goldman Sachs careers site.

The Goldman Sachs Group, Inc., 2024. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.