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Senior Software Engineer, Engineering Productivity

2 months ago

Mountain View, California, United States Google Full time

Minimum qualifications:

Bachelor's degree or equivalent practical experience. A minimum of 2 years of experience in software development utilizing one or more programming languages, or 1 year of experience with an advanced degree in a relevant industry.

At least 2 years of experience with data structures or algorithms in either an academic or professional environment.

2 years of experience in creating developer tools that enhance developer efficiency, code quality, and overall code health (e.g., compilers, automated release systems, code design and testing, test automation frameworks).


Preferred qualifications:


A Master's degree or PhD in Computer Science or related technical disciplines. 2 years of experience with performance analysis, large-scale systems data interpretation, visualization tools, and/or debugging techniques.

Experience in developing accessible technologies. Proficiency in code and system health, diagnosis and resolution, and software testing engineering.
About the role:

Google's software engineers are at the forefront of developing next-generation technologies that transform how billions of users connect, explore, and interact with information and each other.

Our products are designed to manage information at an enormous scale, extending well beyond traditional web search.

We seek engineers who bring innovative ideas from various fields, including information retrieval, distributed computing, large-scale system architecture, networking and data storage, security, artificial intelligence, natural language processing, user interface design, and mobile technology; the possibilities are vast and continually expanding.

As a software engineer, you will focus on a specific project that is vital to Google's objectives, with opportunities to transition between teams and projects as our dynamic business evolves.

We require our engineers to be adaptable, demonstrate leadership qualities, and be eager to tackle new challenges across the entire technology stack as we advance our technological capabilities.

With your technical expertise, you will oversee project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Google Ads is instrumental in powering the open internet with cutting-edge technology that connects and creates value for individuals, publishers, advertisers, and Google.

Our teams are composed of various groups dedicated to building Google's advertising products, including search, display, shopping, travel, and video advertising, along with analytics.

We create trusted interactions between consumers and businesses through effective advertising.

We support businesses of all sizes, from small enterprises to large brands and YouTube creators, with powerful advertising tools that yield measurable outcomes.

We also enable Google to engage with customers on a large scale.
Compensation: The US base salary range for this full-time position is $136,000-$200,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location.

The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations.

Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Your recruiter can provide more information about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

Learn more about benefits at Google. Responsibilities:

Write product or system development code.

Participate in or lead design reviews with peers and stakeholders to evaluate available technologies.

Review code produced by other developers and provide constructive feedback to ensure adherence to best practices (e.g., style guidelines, code accuracy, testability, and efficiency).

Contribute to existing documentation or educational content and adapt it based on product/program updates and user feedback.

Triage product or system issues and debug/track/resolve them by analyzing the sources of issues and their impact on hardware, network, or service operations and quality.