Senior Staff Software Engineer - Lead Distributed Systems

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

Job summary

Google LLC is seeking a software engineer to lead critical projects that impact billions of users. You will drive architecture, scalability, and reliability for large-scale distributed systems, with emphasis on ads, maps, and vertical integrations.

You will work across product teams, influence technical direction, and mentor engineers while exploring AI/ML and data storage challenges in a fast-paced, collaborative environment.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience with design and architecture; and testing/launching software products.
• Experience designing, building, and operating large-scale distributed systems, with a focus on scalability, fault tolerance, and reliability.
• Experience with API design and development for large-scale distributed systems.
• Experience working with algorithms, data structures, analysis, and software design.

Responsibilities

• Set the overall goal and roadmap for Vertical Ads on Maps in the coming years.
• Provide technical guidance for the team of engineers working on Vertical Ads on Maps.
• Develop deep technical knowledge of the system, contributing to designs and direction for the business.
• Collaborate with the delivery of objectives and key results (OKRs) and roadmaps with Product Managers.
• Collaborate closely with teams across Ads product area and Geo.

Skills

Software development

Design and architecture

API design and development

Algorithms and data structures

Distributed systems

Education

Bachelor's degree or equivalent practical experience

Tools

Java

C++

Job description

Google LLC is seeking a software engineer to lead critical projects that impact billions of users. You will drive architecture, scalability, and reliability for large-scale distributed systems, with emphasis on ads, maps, and vertical integrations.

You will work across product teams, influence technical direction, and mentor engineers while exploring AI/ML and data storage challenges in a fast-paced, collaborative environment.