Minimum qualifications: + Bachelor's degree in Computer Science, a technical field, or equivalent practical experience. + 8 years of experience in designing and developing large-scale distributed systems. + 5 years of experience managing teams. + Experience in Java, TypeScript, SQL, Flume. Preferred qualifications: + Experience with handling large amount of data in different storage systems. + Experience with distributed system design and maintenance. + Experience with building and deploying user-facing applications for user base. + Experience in owning, driving and delivering large and scalable infrastructures. + Experience with data model and data schema design. Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way. With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. + Lead the development of apps and infrastructures that collect, manage human data(ranging from strongly consented user contributions to simple yes/no preferences) to power the next releases of Gen AI models. + Work closely with engineers, program managers, client program managers, client software engineers, researchers, legal and UX to design and develop user facing applications. + Build backend systems and services to power user experience, rapid deployment of features,some may be zero-code. Creating infrastructure for data compliance requirements: DMA, GDPR, lineage, wipeout. + Create offline pipelines using flume for various product and infrastructure needs, like supporting dashboards, data quality, shuttling, registering and controlling datasets between infrastructure. + Drive the goal for Google Crowdsource. Knowledge of back-end, front-end stacks with understanding of platform and application design principles. Help shape the future of Human-in-the-loop and influence the ML and LLM space. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.