Senior Software Engineer, Engineering Productivity

Google•New York, NY

2d•$174,000 - $252,000

About The Position

Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Engineers work on products that handle information at massive scale and may address areas such as information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design, and mobile. The role involves working on projects critical to Google's needs, with opportunities to switch teams and projects as the business evolves. Engineers are expected to be versatile, demonstrate leadership qualities, and take on new problems across the full stack. This position is with Google Cloud, which helps organizations digitally transform their businesses and industries. Google Cloud delivers enterprise-grade solutions using Google's technology and tools that help developers build more sustainably. Its customers in more than 200 countries and territories rely on it to support growth and solve critical business problems.

Requirements

Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages.
3 years of experience working with embedded operating systems.
3 years of experience testing, maintaining, or launching software products.
1 year of experience with software design and architecture.

Nice To Haves

Master's degree or PhD in Computer Science or a related technical field.
5 years of experience with data structures and algorithms.
1 year of experience in a technical leadership role.
Experience developing accessible technologies.

Responsibilities

Write and test product or system development code.
Participate in or lead design reviews with peers and stakeholders to decide among available technologies.
Review code developed by other developers and provide feedback to ensure best practices, including style guidelines, checking code in, accuracy, testability, and efficiency.
Contribute to existing documentation or educational content and adapt content based on product or program updates and user feedback.
Triage product or system issues and debug, track, and resolve them by analyzing issue sources and impacts on hardware, network, or service operations and quality.