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Google

Senior Software Engineer, Infrastructure, Google Cloud Platforms

Google

Published 16 May 2026
Sunnyvale, CA, USA& Other locations
174K - 252K USD Annual
Full Time
27500 - 275000 people

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Role Highlights

Languages used

C++
Java
GO
Python

Key skills

AI
NLP
Information Retrieval
Computer Science
Distributed Systems
Software Design
Data Structures
System Design
Technical Leadership
API Design
Full Stack
Infrastructure
Cloud
Testing
Architecture
Storage
PhD
Search
Security
UI
Operations

Tools, Libraries and Frameworks

GCP

Description

The role involves writing and testing code for product or system development. The engineer will participate in or lead design reviews to select appropriate technologies. Responsibilities include reviewing code developed by peers to ensure adherence to best practices regarding style, accuracy, and efficiency. The position requires contributing to documentation and educational content while updating materials based on feedback. Additionally, the engineer will triage system issues and debug problems by analyzing their impact on hardware, networks, or service operations.

Required Qualifications and Skills

Candidates must possess a Bachelor's degree or equivalent practical experience. Required experience includes five years in software development, three years in testing or launching software products, and one year in software design and architecture. Applicants must also have three years of experience developing large-scale infrastructure, distributed systems, or networks, along with API design experience. Preferred qualifications include a Master's degree or PhD in Computer Science or a related field, as well as experience in technical leadership and developing accessible technologies.

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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