Senior Software Engineer, Retail Advertiser Intelligence

Google LLC; Zürich; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

Google LLC is seeking a Share Software Engineer III for the Retail Advertiser Intelligence team within Google Ads. The role involves developing and maintaining reporting infrastructure and collaborating with PM/UX to implement key features.

It requires in-person interviews in most cases. The team focuses on powering retailers with reporting insights to inform investment decisions and optimize campaigns, leveraging Google’s AI capabilities and vast data infrastructure.

Qualifikationen

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
• Master's degree or PhD in Computer Science or related technical fields.
• 2 years of experience with data structures and algorithms.
• Experience working with large-scale infrastructure and data processing pipelines.
• Experience in data processing, aggregation and reporting.

Aufgaben

• Develop and maintain the core reporting infrastructure: RVL, UDFs, Reporting Servers, Dynamo.
• Work with Product Manager (PM) and User Experience (UX) to understand product requirements and develop the features.
• Part of oncall rotations, and keeping the system healthy.
• Design and improve advertiser experience latency.

Kenntnisse

Software development experience

Programming languages

Ausbildung

Bachelor’s degree or equivalent practical experience

Master's degree or PhD (preferred)

Tools

Dynamo

Reporting infrastructure

Data processing pipelines

Jobbeschreibung

Google LLC is seeking a Share Software Engineer III for the Retail Advertiser Intelligence team within Google Ads. The role involves developing and maintaining reporting infrastructure and collaborating with PM/UX to implement key features.

It requires in-person interviews in most cases. The team focuses on powering retailers with reporting insights to inform investment decisions and optimize campaigns, leveraging Google’s AI capabilities and vast data infrastructure.