As a Tech Lead, you will join our Infrastructure team and lead the charge in building Growth Acceleration Infrastructure: an AI-in-the-loop experimentation and productionization platform that empowers product teams to validate ideas rapidly and scale winners to our users.
In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Convert strategy to a roadmap and produce short term and long term plans.
Coordinate development across teams and drive launches.
Build prototype for proof of concept.
Provide technical leadership on high-impact projects.
Minimum qualifications
Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
7 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
5 years of experience with design and architecture; and testing/launching software products.
Experience integrating generative AI tools or LLM interfaces into workflows, and designing distributed systems for large-scale AI/ML workloads.
Preferred qualifications
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures and algorithms.
5 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
Experience in building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production.
Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
7 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
5 years of experience with design and architecture; and testing/launching software products.
Experience integrating generative AI tools or LLM interfaces into workflows, and designing distributed systems for large-scale AI/ML workloads.
