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Google

Senior Software Engineer, Android CI Infrastructure

Google

Published 16 May 2026
Tokyo, Japan
Full Time
27500 - 275000 people

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Role Highlights

Languages used

Python
Java
Kotlin
GO

Key skills

AI
NLP
Information Retrieval
Computer Science
Integrations
CICD
Distributed Systems
Data Structures
System Design
Continuous Deployment
Full Stack
Backend
Infrastructure
Storage
Architecture
Search
Security
UI
Reliability

Tools, Libraries and Frameworks

Android
Bazel

Description

The role involves designing and implementing foundational Continuous Integration services for Android, Chrome, and ChromeOS. The engineer will build infrastructure components to harmonize build, test, and release workflows across these platforms. Responsibilities include identifying and removing bottlenecks in developer loops to improve production safety. The position requires contributing to AI-powered solutions to streamline operational workflows and enhance system reliability. Additionally, the role focuses on maintaining infrastructure scalability and availability while ensuring supply chain security for build artifacts. The engineer will also mentor team members and collaborate with global product teams to ensure alignment across regions.

Required Qualifications and Skills

Candidates must possess a Bachelor's degree in Computer Science or a related technical field. A minimum of 5 years of software development experience is required, specifically in building backend systems or CI/CD pipelines. Applicants must have at least 2 years of experience in large-scale infrastructure, distributed systems, or hardware architecture, along with 2 years of experience in system design. Proficiency in English is required for global collaboration.

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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