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Google

Software Engineer III, Flume ML

Google

Published 16 May 2026
Warsaw, Poland
Full Time
27500 - 275000 people

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Role Highlights

Languages used

C++
Python

Key skills

AI
NLP
Information Retrieval
Machine Learning
Distributed Systems
Data Processing
Data Structures
System Design
Full Stack
Infrastructure
Search
Storage
Security
UI
Cloud

Tools, Libraries and Frameworks

GCP

Description

The role involves designing and developing end-to-end data processing features of small-to-medium size. The engineer will advance the schedulability and autotuning capabilities of the data processing infrastructure. This position requires bridging the gap between infrastructure and the products that rely on it. The engineer will analyze performance data to design data-motivated solutions. Additionally, the role involves working with mission-critical customers on schedulability tests. The engineer is expected to display leadership qualities and mentor junior team members.

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 using languages such as C++ or Python. Applicants must have two years of experience developing large-scale infrastructure, distributed systems, or networks. The position also requires the ability to drive progress, solve problems, and mentor junior team members.

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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