Senior Software Engineer, Engineering Productivity, Platforms and Devices

Google Google · Big Tech · Miami, FL +2

Google is seeking a Senior Software Engineer for its Engineering Productivity, Platforms and Devices team. This role involves developing next-generation technologies for massive-scale information handling across various computing platforms and devices. The engineer will write and test code, participate in design reviews, review code from peers, contribute to documentation, and triage/debug system issues. The role requires a Bachelor's degree, 5 years of software development experience, 3 years of software product experience, 3 years of embedded operating systems experience, 1 year of software design/architecture experience, and experience with engineering tools and infrastructure. Preferred qualifications include a Master's/PhD, 5 years of data structures/algorithms experience, 1 year of technical leadership, and experience with accessible technologies.

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

  • Bachelor's degree or equivalent practical experience
  • 5 years of experience with software development in one or more programming languages
  • 3 years of experience testing, maintaining, or launching software products
  • 3 years of experience working with embedded operating systems
  • 1 year of experience with software design and architecture
  • Experience with Engineering Tools and Infrastructure

Nice to have

  • Master's degree or PhD in Computer Science or related technical field
  • 5 years of experience with data structures and algorithms
  • 1 year of experience in a technical leadership role
  • Experience developing accessible technologies