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Google

Software Engineer, Android and Pixel SDLC

Google

Published 16 May 2026
Singapore
Full Time
27500 - 275000 people

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Role Highlights

Languages used

C++
Java
Python
GO

Key skills

AI
NLP
Anomaly Detection
Information Retrieval
Computer Science
Product Management
Data Structures
SDLC
System Design
Full Stack
LLMs
Search
Storage
Security
UI
Infrastructure
Deployment
Automation
Cloud
Backend
Virtualization
Debugging
Interfaces

Tools, Libraries and Frameworks

Android
ADS

Description

The role involves designing and implementing foundational infrastructure and intelligent tools to enhance the Android and Pixel development lifecycle. The engineer will build automated debugging tools, diagnostic systems, and cloud-native virtualization solutions to simulate mobile technologies. Responsibilities include developing back-end features for carrier configuration tools and integrating intelligent agents for network compliance. The position requires creating smart bug curation algorithms and dashboard interfaces to streamline issue triage. Furthermore, the role focuses on leveraging cloud computing and AI to optimize the stability and release velocity of mobile devices.

Required Qualifications and Skills

Candidates must possess a Bachelor's degree or equivalent practical experience. Applicants are required to have at least one year of experience in software programming using C++, Java, Python, or Go. Additionally, one year of experience with data structures and algorithms is necessary. A Master's degree in Computer Science or a related technical field is preferred.

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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