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Google

Staff Software Engineer, AlloyDB

Google

Published 14 May 2026
Sunnyvale, CA, USA
207K - 300K USD Annual
Full Time
27500 - 275000 people

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Role Highlights

Languages used

C++
Java
Python
Kotlin
GO
SQL

Key skills

AI
NLP
Information Retrieval
Computer Science
Product Management
Data Management
Relational Database
Data Structures
System Design
Technical Leadership
Operating Systems
Full Stack
Storage
PhD
Backup
Search
Security
UI
Cloud
Architecture
Machine Learning
Statistics

Tools, Libraries and Frameworks

GCP

Description

The role involves driving technical goals and execution for new initiatives within the AlloyDB engineering team. The engineer will own and drive the design and implementation of major components across the database stack. Responsibilities include collaborating with team leads to set long-term technical direction and partnering with product managers to define product strategy. The position requires influencing team culture and mentoring other engineers. Additionally, the role involves rethinking fundamental database architecture through specialized storage, indexing, and query engines.

Required Qualifications and Skills

Candidates must possess a Bachelor's degree or equivalent practical experience, with a Master's degree or PhD preferred. A minimum of 8 years of programming experience in C++, Java, Python, Kotlin, or Go is required, along with expertise in relational and distributed databases. Applicants should have experience owning outcomes, solving ambiguous problems, and influencing stakeholders. Additionally, 3 years of experience in a technical leadership role is preferred.

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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