Senior Software Engineer, Engineering Productivity, Wear

1 Month ago • 5-8 Years • Quality Assurance

Job Summary

Job Description

As a Senior Software Engineer in Engineering Productivity, Wear, you'll build software empowering engineering teams to rapidly develop and deliver high-quality products. You'll design and build tooling and infrastructure to improve developer velocity, focusing on code health, testing, and maintainability. Responsibilities involve leading engineering efforts, analyzing complex systems, and collaborating to improve design. You'll drive the adoption of best practices and contribute to solving complex engineering problems in infrastructure, tools, and testing. This role requires experience building developer tools, testing software, and working with data structures/algorithms. You will work within Google's Wearables division.
Must have:
  • 5+ years software development (Python/Java)
  • 3+ years testing/launching software
  • 3+ years building developer tools
  • Experience in engineering productivity
  • Strong data structures/algorithms skills
Good to have:
  • Master's/PhD in CS or related field
  • Technical leadership experience

Job Details

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development in Python or Java, 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.
  • 3 years of experience building developer tools that improve developer velocity, code quality and code health (e.g., compilers, automated releases, code design and testing, test automation frameworks).
  • Experience in engineering productivity, developer tools, test automation, test automation framework.

Preferred qualifications:

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

About the job

A line of code can be many things - an amazing feature, a beautiful UI, a transformative algorithm. The faster this line of code reaches millions of users, the sooner it impacts their lives. As a Software Engineer, Tools and Infrastructure, you will be at the heart of Google’s engineering process building software that empowers engineering teams to develop and deliver high quality products quickly. We are focused on solving the hardest, most interesting challenges of developing software at scale without sacrificing stability, quality, velocity or code health.

We ensure Google's success by partnering with engineering teams and developing scalable tools and infrastructure that help engineers develop, test, debug and release software quickly. We impact thousands of Googlers and billions of users by increasing the pace of product development and ensuring our products are thoroughly tested. We are advocates for code health, testability, maintainability and best practices for development and testing.

Having access to all of Google's platforms and vast compute resources provides a unique opportunity to grow as an engineer. We typically work in small, nimble teams that collaborate on common problems across products and focus areas. As a result, the exposure to this broad set of problems provides diverse technical challenges as well as accelerated career growth.

The Platforms and Ecosystems product area encompasses Google's various computing software platforms across environments (desktop, mobile, applications). The products provide enterprises, and ultimately end users, the ability to utilize and manage their services at scale. We build innovative and compelling software products—from apps to TVs, from laptops to phones—that have an impact on people’s lives across the world.

Responsibilities

  • Lead and contribute to engineering efforts from planning and organization to execution and delivery to solve complex engineering problems in infrastructure, tools and testing.
  • Design and build tooling and infrastructure to help engineering teams measure and increase their velocity.
  • Drive adoption of best practices in code health, testing, and maintainability.
  • Analyze and decompose complex software systems and collaborate with and influence others to improve the overall design.

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