Software Engineer III - YouTube Metrics & Big Data

Google LLC; Zürich; Vor Ort; CHF 140.000 - 210.000; Vollzeit

Zusammenfassung

Google LLC in Zürich, Switzerland, seeks a Software Engineer III for the YouTube Viewcount and Aggregations team to design, build, and maintain systems that compute video view counts, live viewers, and other key metrics at massive scale.

You will focus on scalable data pipelines, monitoring, and collaboration with YouTube product teams to deliver high-quality metric data and evolve metric computations with new viewing experiences.

Qualifikationen

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in C++, or 1 year of experience with an advanced degree.
• 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.

Aufgaben

• Manage and optimize the processing of billions of daily events, ensuring efficient and scalable solutions for batch and streaming data pipelines, utilizing key internal infrastructure.
• Develop and implement robust monitoring, alerting, and data validation strategies across our distributed systems to ensure the delivery of consistent, reliable, and high-quality metric data. Build and augment fault-tolerant systems.
• Partner with stakeholders across YouTube, including Shorts, Live, Creator Analytics, Trust and Safety, to understand their needs, gather requirements, and deliver impactful solutions.
• Drive the evolution of how YouTube's key user-facing metrics are computed, adapting to new viewing experiences and products.

Kenntnisse

C++ development

Distributed systems

Large-scale data processing

Ausbildung

Bachelor’s degree or equivalent practical experience

Tools

Spanner

Bigtable

Server Platform

Flume

Jobbeschreibung

Google LLC in Zürich, Switzerland, seeks a Software Engineer III for the YouTube Viewcount and Aggregations team to design, build, and maintain systems that compute video view counts, live viewers, and other key metrics at massive scale.

You will focus on scalable data pipelines, monitoring, and collaboration with YouTube product teams to deliver high-quality metric data and evolve metric computations with new viewing experiences.