Google-posted 9 months ago
$197,000 - $291,000/Yr
Full-time • Manager
Madison, WI
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Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way. With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. As a Software Engineering Manager, you will be responsible for Rodos, a proxy service for Google's base storage services like Colossus. You will protect the underlying storage nodes by terminating and buffering network connections from abusive clients or remote data centers. You will make more efficient use of expensive long-range fiber bandwidth. Demand for efficient access to far-away Colossus cells is growing rapidly, with much of the recent growth coming from Google's AI efforts. AI developers have to manage specialized compute capacity and training data spread across many data-centers, making them particularly interested in efficient and reliable access to Colossus across data-center boundaries. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

  • Lead and support a team of software engineers.
  • Cultivate a positive team environment by fostering a strong team culture.
  • Collaborate effectively with partner teams to ensure smooth collaboration and alignment.
  • Partner with Tech Leads to formulate and track long-term project plans, and understand the user needs to help formulate an impactful feature roadmap.
  • Contribute to the project by using Google's C++ development tools and serving stack, using Google SQL to analyze traffic patterns and create dashboards, and debugging and fixing production issues.
  • Contribute to project success by navigating conflicting demands of simplicity, efficiency, and reliability with partner teams, and maintaining a healthy release process for production software.
  • Bachelor's degree, or equivalent practical experience.
  • 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
  • 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role.
  • 3 years of experience in the architecture, development, and maintenance of large-scale distributed systems, with key distributed systems concepts such as concurrency, fault tolerance and scalability.
  • Master's degree or PhD in Computer Science or related technical field.
  • 3 years of experience working in a matrixed organization.
  • Experience in C++, with designing, developing, and debugging complex software systems.
  • Experience with various storage systems, including file, block, object storage, storage protocols and technologies.
  • Experience in designing and implementing monitoring solutions for large-scale systems, including performance metrics, logging, and alerting.
  • Ability to perform capacity planning for distributed systems, including forecasting resource needs and optimizing resource utilization.
  • 401k
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