Software Engineer II, Platform Storage, Google Cloud Platform

2 Days ago • 1 Years + • DevOps

Job Summary

Job Description

As a Software Engineer II, Platform Storage, you'll design, implement, and maintain software solutions for Google's storage systems. Responsibilities include developing system software for optimal performance, reliability, and security; creating automation tools for diagnostics and performance evaluation; developing solutions for data collection and analysis; and collaborating with internal/external partners on engineering programs. You'll work within Google's MSCA organization, focusing on the infrastructure supporting Google services and Google Cloud.
Must have:
  • Bachelor's degree in CS or related field
  • 1 year software development experience (C, C++)
  • 1 year data structures/algorithms experience
  • 1 year system software development experience
  • Design and implement storage system software
  • Create automation tools for diagnostics
Good to have:
  • Master's degree in CS or related field
  • Experience in high-performance computing
  • Experience with enterprise server/storage systems
  • Experience with Python/Go and scripting languages

Job Details


Minimum qualifications:

  • Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
  • 1 year of experience with software development in one or more programming languages (e.g., C, C++).
  • 1 year of experience with data structures or algorithms.
  • 1 year of experience in system software development (e.g., firmware, BIOS, BSP, Linux kernel, BMC, device drivers, and system libraries).

Preferred qualifications:

  • Master's degree in Computer Science, Electrical Engineering, a similar technical field, or equivalent practical experience.
  • Experience in high-performance computing, reliability engineering, software-defined systems, hardware acceleration, and disaggregated computing.
  • Experience in enterprise server or storage systems, including BIOS, BMC, TCG, SSD, and SATA/SAS.
  • Experience in secure fleet management of servers and components.
  • Experience in Python/Go and scripting languages (e.g., Shell).

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

As a key member of a versatile team, you design, test, deploy and maintain software solutions.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Responsibilities

  • Design and implement the system software for storage systems to support the performance, reliability, security, and capacity.
  • Create and implement tools for automating diagnostics, performance evaluation, and reliability assurance for storage components and systems.
  • Develop and implement solutions for collecting and analyzing metrics for storage products in the cloud infrastructure for insights.
  • Collaborate with internal and external partners to plan and execute the engineering programs, including product development, and productivity improvements.
  • Contribute innovative ideas with the team.

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