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Google

Staff Software Engineer, Full Stack, 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
Software Design
System Design
Technical Leadership
Full Stack
Testing
Backend
Frontend
Architecture
PhD
Cloud
Search
Data
Storage
Security
UI
Automation
Devops
Deployment
Servers

Tools, Libraries and Frameworks

GCP
IOS
Android
IOS SDK
SSL
TLS
HTTP
Linux

Description

The role involves leading the development of full-stack software to orchestrate automated and manual workflows. The engineer will collaborate with mechanical teams to design and control systems for rearing and releasing mosquitoes. Responsibilities include building data pipelines and analytics dashboards to monitor production and population metrics. The position requires driving DevOps best practices to improve development and deployment processes. Additionally, the engineer will manage on-premises Linux servers and cloud-based workloads.

Required Qualifications and Skills

Candidates must possess a Bachelor's degree or equivalent practical experience. The role requires eight years of software development experience, including five years in testing and launching products. Applicants need five years of full-stack development experience and three years of experience in software design and architecture. A Master's degree or PhD in a technical field is preferred, along with three years of experience in a technical leadership role.

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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