Senior Software Engineer, Full Stack, VM Manager

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages, and data structures/algorithms.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with full stack development, across back-end such as Java, GO, and front-end experience including JavaScript or TypeScript, Angular etc.
  
• 3 years of experience with performance analysis.
  

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• 1 year of experience in a technical leadership role.
  
• Experience architecting and developing large-scale distributed systems.
• Experience with Linux system administration or Enterprise applications.

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.

Virtual Machine (VM) Manager is a suite of tools that is used to manage operating systems for large VM fleets running Windows and Linux on Compute Engine. VM Manager helps drive efficiency through automation and reduces the operational burden of maintaining these VM fleets.

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

• Write and test product or system development code.
• Analyze and proactively implement improvements that increase team's velocity, product reliability and reducing resource usage.
  
• Improve production, staging and test environments.
  
• Document the changes to the system architecture so it is easily accessible to the others.
  
• Drive Technical Debt reduction and actively participate in the implementation efforts.