Senior Software Engineer, Gcp Databases, Alloydb

Google Google · Big Tech · Bengaluru, Karnataka, India

Senior Software Engineer for GCP Databases, focusing on AlloyDB. This role involves designing and implementing query engines for a high-performance, enterprise-grade transactional database. Responsibilities include writing product code, participating in design reviews, code reviews, contributing to documentation, and debugging system issues. Requires experience with relational databases, database internals, distributed databases, storage, and SQL.

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, or 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. 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, including performance benchmarking and optimization of query execution.

Skills

Required

  • software development
  • programming languages
  • large-scale infrastructure
  • distributed systems
  • networks
  • compute technologies
  • storage
  • hardware architecture
  • relational databases
  • database internals
  • distributed databases
  • storage
  • SQL

Nice to have

  • C/C++
  • concurrency control
  • indexing
  • transactional systems
  • multithreading and synchronization
  • compilers
  • query processing
  • RDBMS internals
  • query optimization
  • query processing

What the JD emphasized

  • high-performance database internals
  • query engines
  • large-scale distributed systems
  • transactional consistency
  • performance benchmarking
  • query execution
  • relational databases
  • database internals
  • distributed databases
  • storage
  • SQL
  • C/C++
  • concurrency control
  • indexing
  • transactional systems
  • multithreading and synchronization
  • compilers
  • query processing
  • RDBMS internals
  • query optimization