Senior Software Engineer, Android Ci Infrastructure

Google Google · Big Tech · Tokyo, Japan

Senior Software Engineer to build next-generation, AI-powered infrastructure supporting Continuous Integration (CI) systems for Android, Chrome, and ChromeOS. The role involves designing, implementing, and deploying scalable and reliable systems, with a focus on streamlining operational workflows using Agentic AI and enhancing system reliability. The engineer will also contribute to AI accelerated development and ensure the scalability and availability of infrastructure.

What you'd actually do

  1. Design and implement the next generation of Android's foundational CI services, and build common infrastructure components that harmonize the build, test, and release workflows across Android, Chrome, and ChromeOS.
  2. Identify and eliminate bottlenecks in the developer inner and outer loops that allow teams to move from code-complete to production safely.
  3. Contribute to the design and implementation of AI-powered solutions, leveraging Agentic AI to streamline operational workflows and enhance system reliability.
  4. Mentor engineers, drive design reviews, and partner closely with global product teams and infrastructure leadership to ensure seamless integration and alignment across multiple regions.
  5. Maintain focus on the scalability and availability of infrastructure by implementing advanced monitoring and performance tuning. Ensure that CI/CD pipelines adhere to the supply chain security standards, protecting the integrity of the build and release artifacts for billions of users.

Skills

Required

  • 5 years of work experience in software development in one or more programming languages, building scalable backend systems or Continuous Integration/Continuous Deployment (CI/CD) pipelines.
  • 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
  • 2 years of experience in system design.
  • Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.

Nice to have

  • Experience in Python, Java, Kotlin, or Go, and with distributed computing or build systems (e.g., Bazel, Soong).
  • Experience with the build/test requirements of large-scale monolithic repositories or OS-level projects, such as Android or Chromium.
  • Experience with AI accelerated development or in the applied AI space.
  • Ability to debug complex, intermittent system failures in distributed environments and implement long-term structural fixes.
  • Excellent communication skills and the ability to influence the engineering teams across different time zones.
  • 3 years of experience with data structures and algorithms in either an academic or industry setting.

What the JD emphasized

  • AI-powered infrastructure
  • Agentic AI
  • AI accelerated development

Other signals

  • AI-powered infrastructure
  • Agentic AI to streamline operational workflows
  • AI accelerated development