Responsibilities:
Lead the design, architecture, and development of complex, robust, and AI-powered tools and features for our internal production platform infrastructure. Ensure systems are highly scalable, reliable, and performant.
Influence and coach a distributed team of engineers.
Forge strong partnerships to define, architect, and deliver impactful AI-integrated solutions that enhance developer productivity and align with the strategic objectives.
Identify and lead strategic initiatives for AI investment. Drive the roadmap for AI features that transform code generation, automated testing, large-scale change capabilities, and overall developer productivity within Google's ecosystem.
Design, develop, test, deploy, maintain, and enhance large-scale software solutions. Anticipate and address complex issues within the AI-motivated ecosystem at an architectural level. Lead efforts to design and implement sustainable, long-term solutions.
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
8 years of experience programming in C++, Java, Python, Kotlin or Go.
5 years of experience testing, and launching software products.
3 years of experience with software design and architecture.
Experience integrating generative AI tools or Large Language Model (LLM) interfaces into workflows.
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.
3 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.
1 year of production experience on Generative AI (GenAI)/Retrieval-Augmented Generation (RAG)/Agents or agentic frameworks.
Experience building upon, contributing to an internal development platform, worked on the developer experience and velocity.
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