Want to professionalize your AI skills, pivot to an AI role and increase your salary?
Master AI Engineering with the most practical and comprehensive LLM Development certifications at Towards AI Academy.

Google

Software Engineering II, Full Stack, Knowledge and Information

Google

Published 16 May 2026
Zurich, Switzerland
Full Time
27500 - 275000 people

Share this job

Role Highlights

Languages used

Python
C++
Java
JavaScript

Key skills

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

Tools, Libraries and Frameworks

Android
ADS

Description

The role involves developing next-generation technologies that impact how users interact with information. Engineers write product or system development code and review code created by other developers to ensure adherence to best practices. They contribute to documentation and educational content while adapting materials based on product updates. Additionally, the position requires triaging system issues and debugging to resolve problems affecting hardware, networks, or service operations. The work focuses on large-scale systems and requires versatility across the full stack.

Required Qualifications and Skills

Candidates must possess a Bachelor's degree or equivalent practical experience. At least one year of experience in software development using languages such as Python, C, C++, Java, or JavaScript is required. Proficiency in English is mandatory for all roles to facilitate global communication.

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.

Share

Share this job

Related jobs

Vertex AI
Computer Science
Integrations
Test Engineer
Taipei, Taiwan
Full Time
Vertex AI
Computer Science
UX
Product Design
Thailand
Remote
AI
NLP
Information Retrieval
NLU
Zurich, Switzerland
Full Time