Software Engineer, Cloud Infrastructure Engineering

Google Google · Big Tech · Bengaluru, Karnataka, India

Software Engineer role focused on Cloud Infrastructure Engineering, specifically on delivering efficient compute solutions for Google Cloud. The role involves optimizing resource usage, collaborating with data science teams on statistical modeling for capacity planning, integrating resource management tools, and developing new cluster management products. The work impacts both ML and non-ML use cases, aiming to improve compute and ML resource efficiency for financial and environmental benefits.

What you'd actually do

  1. Create system reliability and support for resource management with the Spatial Flexibility technical leadership team as part of the creation and execution of deliverables.
  2. Build technical solutions from the ground-up as part of the global Spatial Flexibility team.
  3. Develop, maintain, and simplify systems.
  4. Collaborate with team across the United States (e.g., West coast), India and Poland.
  5. Improve compute and ML resource efficiency to impact Google's bottom line and the net environmental impact.

Skills

Required

  • software development
  • testing
  • maintaining software products
  • launching software products
  • software design
  • software architecture
  • large-scale infrastructure
  • distributed systems
  • networks
  • compute technologies
  • storage
  • hardware architecture
  • SQL
  • large datasets

Nice to have

  • capacity planning
  • resource management
  • Java programming language
  • data structures
  • algorithms
  • Application Programming Interfaces (APIs) and services
  • tools
  • testing infrastructure
  • monitoring infrastructure

What the JD emphasized

  • 5 years of experience with software development in one or more programming languages
  • 3 years of experience with testing, maintaining, or launching software products, and 1 year of experience with software design and architecture
  • 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture