Software Engineer, Finance and Growth Platform, Payments - Singapore

GOOGLE ASIA PACIFIC PTE. LTD.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Google’s Payments team builds payment and money movement services for billions of users, delivering simple, secure experiences. This Software Engineer role focuses on designing and delivering scalable features for the Finance and Growth Platform, touching data processing, notifications, and insights across Google’s consumer payments ecosystem.

You will work across the full stack, collaborate with teams, and help evolve architecture to handle high-scale, low-latency requirements for global

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages listed.

Responsibilities

• Design, develop, and maintain scalable features and infrastructure for the Finance and Growth platform.
• Work on all technical aspects of development, including requirements definition, design, implementation, unit testing, and integration.
• Contribute to architectural evolution, balancing centralization vs decentralization.
• Ensure performance and reliability of critical services with high availability for global finance back-end infrastructures.
• Participate in code reviews and share knowledge to foster technical excellence.

Skills

Go

Python

Java

C

C++

JavaScript

Education

Bachelor’s degree

Job description

Product area

Whether it is paying online with Autofill, using tap and pay in stores, or using the Google Pay app, the Payments team at Google is focused on making payments simple, seamless, and secure. In addition to consumer payment technologies, the Payments team also powers the money movement between Google and its consumers and businesses.

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Additional job description

The Consumer Payments Finance and Growth Platform team owns the infrastructure powering payments data processing, growth, engagement, and business generation across Google’s Consumer Payments global business. We provide reliable, high-performance, and scalable solutions for users to have rich financial search and insights, reach users via notifications, emails, in-surface communications, and offer rewards and incentives.

Qualifications

Job responsibilities

• Design, develop, and maintain scalable features and infrastructure for the Finance and Growth platform.
• Work on all technical aspects of development, including technical requirements definition, design, implementation, unit testing, and integration.
• Contribute to the architectural evolution of the platform, balancing the needs for centralization vs decentralization.
• Ensure the performance and reliability of critical services, maintaining high availability standards for global finance back-end infrastructures.
• Participate in code reviews, share knowledge to foster a culture of technical excellence.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages (e.g., Go, Python, C, C++, Java, JavaScript), or 1 year of experience with an advanced degree.
• 1 year of experience with Generative AI, Agentic AI, Large Language Models (LLMs), AI evaluations, training, or models.

Preferred qualifications

• Master's degree or PhD in Computer Science, or a related technical field.
• Experience with Artificial Intelligence (AI) or machine learning systems.
• Experience developing Generative AI Agentic solutions, LLM integrations, or accessible technologies to improve data exploration and developer productivity.
• Expertise in distributed systems design, specifically in architecting high-performance services that handle millions of requests per second.