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Google

Software Engineer III, Debug

Google

Published 16 May 2026
Singapore
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
Machine Learning
Computer Vision
Computer Science
Data Structures
System Design
Full Stack
Backend
Frontend
PhD
Cloud
Security
Search
Storage
UI
Automation
Servers
Operations
Devops
Deployment

Tools, Libraries and Frameworks

GCP
HTTP
SSL
TLS
GKE
OpenCV
Android
Linux
Kubernetes

Description

The role involves developing software that operates on-premises to support industrial automation for mosquito production and release. The engineer will integrate these systems with the Google Cloud Platform and Google Kubernetes Engine. Responsibilities include building full-stack software to orchestrate automated and manual workflows. The position requires developing automation to manage server fleets and cloud workloads. Additionally, the engineer will build data pipelines and analytics dashboards to monitor mosquito populations and production metrics.

Required Qualifications and Skills

Candidates must possess a Bachelor's degree or equivalent practical experience. A minimum of two years of experience in full-stack development is required, covering back-end languages such as Java, Python, GO, or C++, and front-end technologies including JavaScript, TypeScript, HTML, or CSS. Proficiency in English is mandatory for all roles. Applicants must have a current right to work in Singapore without visa sponsorship.

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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