Staff Software Engineer, Server AI Foundations

Google Google · Big Tech · Bengaluru, Karnataka, India

Staff Software Engineer role focused on developing AI-powered tools for Google developers, enhancing productivity and velocity. This role involves leading the design, architecture, and implementation of complex software systems at the intersection of AI, Developer Tools, and Google Production systems, with a focus on influencing technical direction and mentoring engineers.

What you'd actually do

  1. 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.
  2. Influence and coach a distributed team of engineers.
  3. Forge strong partnerships to define, architect, and deliver impactful AI-integrated solutions that enhance developer productivity and align with the strategic objectives.
  4. 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.
  5. 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.

Skills

Required

  • C++
  • Java
  • Python
  • Kotlin
  • Go
  • software design
  • architecture
  • generative AI tools
  • Large Language Model (LLM) interfaces

Nice to have

  • data structures
  • algorithms
  • technical leadership
  • cross-functional projects
  • Generative AI (GenAI)
  • Retrieval-Augmented Generation (RAG)
  • Agents
  • agentic frameworks
  • internal development platform
  • developer experience
  • developer velocity

What the JD emphasized

  • integrating generative AI tools or Large Language Model (LLM) interfaces into workflows
  • production experience on Generative AI (GenAI)/Retrieval-Augmented Generation (RAG)/Agents or agentic frameworks

Other signals

  • AI-powered tools for Google developers
  • AI-integrated solutions
  • AI investment
  • AI features that transform code generation, automated testing, large-scale change capabilities