Senior Software Engineer, Search Content Platform

Google Google · Big Tech · São Paulo, State of São Paulo, Brazil

This role is for a Senior Software Engineer on the Search Content Platform team at Google. The primary focus is on organizing and integrating structured and unstructured data from various sources (web, feeds, images, video) into a standardized platform to power AI-forward, multimodal Search experiences. The role involves writing and testing code, participating in design reviews, debugging issues, and contributing to documentation. While the role leverages advanced AI and ML systems, its core function is data integration and platform engineering for search content.

What you'd actually do

  1. Write and test product or system development code.
  2. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
  3. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  4. Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  5. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Skills

Required

  • Software development with one or more general purpose programming languages (e.g., Java, C/C++, C#, Objective C, Python, JavaScript, or Go.)
  • testing, maintaining, or launching software products
  • software design and architecture

Nice to have

  • data structures and algorithms
  • technical leadership role
  • large-scale distributed systems
  • APIs used by other developers
  • ML (Machine Learning) systems

What the JD emphasized

  • large-scale distributed systems
  • ML (Machine Learning) systems

Other signals

  • organizing the world's content
  • AI-forward, multimodal Search
  • leverage advanced AI to streamline ingestion and delivery
  • large-scale distributed systems
  • ML (Machine Learning) systems