Senior Software Engineer, Storage Technologies, Google Cloud Platform

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
• Experience in Unix/Linux environments.
  
• Experience in C or C++ programming.
  

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• 1 year of experience in a technical leadership role.
• Experience with developer operations, release management, integration testing, and open source community collaborations.
  
• Experience in large-scale and secure fleet management of servers and components.
  
• Experience in Python/Go and scripting languages (e.g. shell).
  
• Experience in enterprise server or storage systems.
  

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.

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

• Develop and execute on technical charters for owned areas. Influence roadmap decisions, and define and implement the known practices across teams.
  
• Lead the programs of system software development for next-generation storage devices and systems to introduce the latest technologies of performance, reliability, security, and cost-effectiveness to the infrastructures.
  
• Lead the programs of system software development for large-scale system verification, automating diagnostics, system configuration management, and operation metrics collection.
  
• Mentor the team by modeling standards, providing guiding feedback, and implementing new practices to improve productivity.
• Contribute innovative ideas and skills to the team.