Join a pioneering team at Google, where you'll shape the future of how billions interact with information. This role focuses on advancing multimodal search, leveraging cutting-edge AI like Gemini to create intuitive and powerful products. You'll contribute to a globally impactful search experience, driving innovation at the intersection of AI and user interaction.
This is an opportunity to work on high-impact projects, leading technical architecture and roadmaps. The goal is to transform music discovery into an indispensable experience, delivered reliably and efficiently at Google's scale. If you're passionate about driving AI in Search and collaborating with world-class experts, this role offers unparalleled growth and impact.
Lead technical direction and engineering excellence within your team, mentoring engineers and guiding architectural designs. You'll be instrumental in fostering a culture of innovation and ensuring clarity across teams regarding goals, outcomes, and timelines. Responsibilities include managing project priorities, deadlines, and deliverables.
Develop and enhance large-scale software solutions, encompassing design, development, testing, deployment, and maintenance. Drive the technical vision and roadmap for critical projects, ensuring robust and scalable systems are built to meet global demands. Your work will directly influence the evolution of Google Search AI.
A Bachelor's degree or equivalent practical experience is required, alongside 8 years of experience in software development. You'll need 5 years of full-stack development expertise, covering back-end languages such as Java, Python, Golang, or C++, and front-end technologies like JavaScript, TypeScript, HTML, and CSS.
Demonstrated experience in technical leadership is essential. This includes designing and implementing enterprise-grade applications and distributed systems (e.g., microservices, containerization). Proven ability to lead projects through the entire Software Development Life Cycle (SDLC) is also a key requirement.
Technology