Software Engineering Manager II, NodeOS

1 Month ago • 8-13 Years • Research & Development

Job Summary

Job Description

As a Software Engineering Manager II at Google, you'll lead and mentor a team of engineers working on NodeOS. Responsibilities include setting team priorities, aligning strategies across teams, providing performance feedback and coaching, developing technical roadmaps, designing and reviewing systems, and ensuring coding best practices. You'll manage large-scale projects internationally, working with various technologies across multiple teams and locations. This role requires strong technical expertise in areas like Linux kernel development and a minimum of 8 years of software development experience, including 5 years in Linux kernel development and 3 years in a technical leadership role.
Must have:
  • Bachelor's degree or equivalent
  • 8+ years software development experience
  • 5+ years Linux kernel development
  • 3+ years technical leadership
  • 2+ years people management
  • Strong communication and leadership skills
Good to have:
  • Master's or PhD in CS
  • Experience in a complex organization

Job Details

Minimum qualifications:

  • 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).
  • 5 years of experience in Linux kernel development, linux kernel subsystems maintenance (including experience resolving kernel rebase issues).
  • 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.
  • 3 years of experience working in a complex, matrixed organization.

About the job

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.

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

  • Set and communicate team priorities that support the organization's goals. Align strategy, processes, and decision-making across teams.
  • Set clear expectations with individuals based on the level and role and aligned to the organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.
  • Develop the mid-term technical goal and roadmap within the scope of multiple teams. Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
  • Design, guide and vet systems designs within the scope of the area, and write product or system development code to solve ambiguous issues.
  • Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).

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