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Google

Software Engineer III, Full Stack, Living Room, YouTube

Google

Published 16 May 2026
Bangalore, India
Full Time
27500 - 275000 people

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Role Highlights

Languages used

Java
Python
GO
C++
JavaScript
TypeScript
HTML
CSS

Key skills

AI
NLP
Information Retrieval
Computer Science
Data Structures
System Design
Full Stack
Backend
Frontend
PhD
Search
Storage
Security
UI
Bootstrap
Operations

Tools, Libraries and Frameworks

Description

The role involves contributing to the technical strategy for the YouTube Live team. The engineer will modernize the living room experience and build a scalable creator platform to support a third-party ecosystem. Responsibilities include writing system development code and participating in design reviews with stakeholders. The engineer will also review code to ensure efficiency and best practices are maintained. Additionally, the position requires triaging and resolving system issues while contributing to technical documentation.

Required Qualifications and Skills

Candidates must possess a Bachelor's degree or equivalent practical experience. The role requires at least two years of experience in software development and full-stack development. Applicants should have proficiency in back-end languages such as Java, Python, Golang, or C++ and front-end technologies including JavaScript, TypeScript, HTML, or CSS. A Master's degree or PhD in a technical field is considered a preferred qualification.

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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