Senior Software Engineering Manager, Ads Data Platform

Google; Mountain View (CA); On-site; USD 262,000 - 364,000; Full time

Job summary

Google in Mountain View, CA is seeking a Senior Software Engineering Manager for Ads Quality Infrastructure. The role focuses on guiding core data platform architecture and scaling complex distributed systems while leading a team of engineers.

The position requires extensive backend experience, leadership skills, and expertise in large-scale data processing, with compensation reflecting a generous US package and equity options.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 7 years building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• 5 years of experience in a technical leadership role; overseeing projects, with 5 years of experience in a people management, supervision/team leadership role.
• Experience in backend development, infrastructure design, and distributed processing.

Responsibilities

• Define the architectural direction and unified strategy for the core data platform, and collaborate with clients and partner teams.
• Scale distributed systems to process data growth, managing real-time updates at peak rates of 1 million database row changes per second.
• Build client-facing APIs, data abstractions, and data pipelines for client teams.
• Maintain latency service level objective (SLOs) and system availability while isolating customer environments and managing large-scale customer datasets.
• Provide technical mentorship to engineers across the team and establish engineering practices.

Skills

Outcome ownership

Problem solving

Stakeholder influence

Backend development

Distributed systems

Leadership

C++

Education

Bachelor's degree

Master's degree or PhD

Job description

Google in Mountain View, CA is seeking a Senior Software Engineering Manager for Ads Quality Infrastructure. The role focuses on guiding core data platform architecture and scaling complex distributed systems while leading a team of engineers.

The position requires extensive backend experience, leadership skills, and expertise in large-scale data processing, with compensation reflecting a generous US package and equity options.