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Google

Software Engineer II, Google Pay and Wallet

Google

Published 14 May 2026
Singapore
Full Time
27500 - 275000 people

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Role Highlights

Languages used

Python
C++
Java
JavaScript

Key skills

AI
NLP
Information Retrieval
Computer Science
Integrations
Product Management
Software Design
Data Structures
System Design
Unit Testing
Full Stack
Architecture
Search
Storage
Security
UI

Tools, Libraries and Frameworks

Description

The role involves designing, developing, maintaining, and improving solutions for global business payment journeys. Engineers are responsible for all technical aspects of development, including implementation, unit testing, and integration. The position requires managing the end-to-end service lifecycle, which includes productionization, monitoring, and alerting. Professionals in this role will participate in on-call rotations to resolve bugs and address user feedback. Additionally, the role requires alignment with long-term product visions and collaboration with cross-functional teams.

Required Qualifications and Skills

Candidates must possess a Bachelor's degree or equivalent practical experience. The role requires at least one year of experience in software development using languages such as Python, C, C++, Java, or JavaScript. Applicants must have one year of experience in a full-stack development environment, as well as experience in testing, maintaining, and launching software products. Additionally, one year of experience with large-scale application design and architecture is required.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Google

Size

275773

Website

goo.gle

HQ

Mountain View, US

Public/Private

Public Company

Description

At gTech's Users and Products team, innovations are focused on enhancing user engagement and solving complex customer needs through technical expertise and a deep understanding of Google's and Alphabet's broad product environments. The team acts as a bridge between Google’s users and its product teams, ensuring that user insights are integrated into product offerings which support numerous annual product launches. The newly formed Machine Learning Data Operations (MLDO) team within gUP Operations plays a critical role in delivering and tuning machine learning and GenAI data operations across Google’s product suite, leveraging extensive global vendor networks. Google's overarching goal is to create impactful products and services, with gTech playing a strategic role in bringing these solutions to fruition through technological and operational expertise.

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