Software Engineer
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Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- Experience with SQL.
Preferred qualifications:
- Master's degree in Computer Science or a related technical field.
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Our responsibility is to ensure detect, protect, and prevent bad accounts from causing damage to Google users and products. We own the end-to-end solutions lifecycle—collecting, processing, and transforming massive, high-velocity data streams into the insights that powers multiple Google’s abuse-fighting systems.
In this role, you will contribute to the redesign and implementation of a next-generation data and semantic infrastructure designed to provide critical insights across the organization. Your work will involve identifying and resolving architectural bottlenecks to facilitate the business transition toward Agentic AI. We are seeking innovative problem solvers capable of transforming raw data into actionable business intelligence while partnering with cross-functional teams worldwide.
Responsibilities
- Design and implement horizontally scalable systems specifically optimized for the unique constraints of account and device data.
- Architect and own the development of core components for signal ingestion and centralized repositories, ensuring data integrity and timeliness across the entire pipeline.
- Architect end-to-end data lifecycles to convert raw information into insights, overseeing the full range of collection, processing, and visualization of high-fidelity signals to empower organizational intelligence.
- Perform comprehensive performance analysis by executing advanced experiments to troubleshoot and enhance the efficiency of both individual nodes and large-scale distributed systems.
- Resolve system bottlenecks through the optimization of storage and processing architectures, while leveraging fleet metrics and custom tooling to monitor reliability and extract key performance data from operational workloads.
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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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