Staff Software Engineer, Alloydb, Database Internals

Google Google · Big Tech · Bengaluru, Karnataka, India

Staff Software Engineer role at Google focused on database internals, specifically query engines for AlloyDB. This role involves writing high-performance code, participating in design reviews, leading architectural direction for large-scale distributed systems, and debugging/optimizing query execution. Requires extensive experience in C++, Java, Python, or Go, software testing, and system design.

What you'd actually do

  1. Write product or system development code for high-performance database internals, specifically focusing on the design and implementation of query engines for AlloyDB.
  2. Participate in and lead design reviews with peers and stakeholders to decide amongst available technologies, driving architectural direction for large-scale distributed systems and transactional consistency.
  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. Take ownership of specific components and contribute to the team's technical discussions, continuously learning and applying best practices.
  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, including performance benchmarking and optimization of query execution.

Skills

Required

  • C++
  • Java
  • Python
  • Go
  • software testing
  • software design
  • software architecture
  • database internals
  • query optimization
  • compilers
  • RDBMS internals
  • serializability
  • consistency

Nice to have

  • C
  • PostgreSQL
  • MySQL
  • managed services
  • team leadership

What the JD emphasized

  • high-performance database internals
  • design and implementation of query engines
  • large-scale distributed systems
  • transactional consistency
  • performance benchmarking
  • optimization of query execution
  • database internals
  • query optimization
  • RDBMS internals
  • serializability and consistency