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Software Engineer, Finance and Growth Platform, Payments

Google • Digital Media • Marketing Analytics & Attribution • Bachelor's Degree • Python • Go • JavaScript • C++ • 5 days ago

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Salary

≈ $35k – $70k per year (Estimated)

Location

In office (Singapore)

Seniority

Junior · 2+ years exp

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Oct 15, 2026. Google scores B on the Alion truth index.

Overview

Company

Impact

Profile match

Google

Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.

google.com • HQ: Mountain View, United States • Digital Media • Marketing Analytics & Attribution • Streaming & OTT Platforms • Consumer Internet Groups • Foundation Models • Operating Systems • Cloud Platforms (IaaS & PaaS) • Video & Photo Sharing • Advertising • Search Engines • 11-50 employees • Est. 1998

Tech stack of Google

Backed by Y Combinator, Lightspeed Venture Partners, Union Square Ventures

About the job

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.

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.

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.

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.

Qualifications

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.

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