Senior Software Engineer, Borg, Google Cloud

5 Months ago • 5 Years +
Full Stack Development

Job Description

This Senior Software Engineer role at Google focuses on Borg Prime, a core cluster-management component. Responsibilities include writing and testing code, participating in design reviews, code reviews, contributing to documentation, and debugging system issues. The role requires applying data analysis and parallel programming techniques to scale Borg Prime for increasingly large workloads. The ideal candidate will have experience with multithreaded programming, refactoring, and software design and architecture. They will contribute to Google's core infrastructure supporting services like Search and YouTube.
Good To Have:
  • Master's/PhD in CS or related field
  • Technical leadership experience
  • Experience developing accessible technologies
Must Have:
  • 5+ years software development experience
  • Experience with data structures/algorithms
  • Experience testing, maintaining, launching software
  • Multithreaded Programming and Refactoring experience
  • Software design and architecture experience

Add these skills to join the top 1% applicants for this job

algorithms
data-structures
data-analytics
networking
user-interface

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.
  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  • Experience with Multithreaded Programming and Refactoring.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.
  • 1 year of experience in a technical leadership role.
  • Experience developing accessible technologies.

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.

In this role, you will focus on Google's core cluster-management component, Borg Prime, and you will apply data analysis and parallel programming techniques to scale it up to support increasingly large workloads.

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.
  • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
  • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • 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.

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