Software Engineer Tech Lead, Search Experiments

10 Months ago • 5-8 Years
Full Stack Development

Job Description

As a Software Engineer Tech Lead, Search Experiments, you will play a key role in developing and maintaining the infrastructure that powers Google Search's experimentation platform. You will lead design reviews, review code, debug issues, and contribute to documentation. You will be responsible for ensuring the reliability, performance, and scalability of our experimentation infrastructure, which is crucial for Google Search's continuous innovation. You will work closely with other engineers and stakeholders to deliver high-quality solutions that enhance the user experience.
Good To Have:
  • Master's degree or PhD in Computer Science or related technical field
  • 1 year of experience in a technical leadership role
  • Experience in People management in a technical environment
Must Have:
  • Bachelor's degree or equivalent practical experience
  • 5 years of experience with software development
  • 3 years of experience testing, maintaining, or launching software products
  • 1 year of experience with software design and architecture
  • Experience with system design at scale

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

algorithms
data-structures
data-driven-decisions
networking


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 system design at scale.

Preferred qualifications:

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

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.

The mission of the Search Experiments Infrastructure team is to help make Search more useful, delightful, and dependable for users around the world by providing performant, reliable and trustworthy experimentation infrastructure that enables teams to innovate and make data-driven decisions.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

Responsibilities

  • Write and test product or system development code.
  • Lead design reviews with peers and stakeholders to decide among 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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