Software Engineer III, Security and Privacy

1 Day ago • 2 Years + • Full Stack Development

Job Summary

Job Description

This Software Engineer III role focuses on security and privacy within Google's Core team. Responsibilities include designing and implementing new techniques for large-scale software systems, collaborating with partner teams on memory safety initiatives (including Google's Memory Safety program), and researching innovative memory safety techniques. The ideal candidate will have experience in data privacy/security, API development, and third-party service integration. Experience with Rust, C++, static analysis tools, or compilers is preferred. The role involves building strong partnerships, applying cutting-edge techniques, and impacting important technical decisions across Google.
Must have:
  • Bachelor's degree or equivalent experience
  • 2 years software development experience
  • 2 years data structures/algorithms experience
  • 2 years experience in data privacy/security
  • API development and third-party integration experience
Good to have:
  • Rust development experience
  • Experience with C++ codebases
  • Building static analysis tools, linters, or compilers
  • Experience implementing exploit mitigations or low-level system features
  • Foundations in programming languages, compilers, static and dynamic analysis

Job Details

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  • 2 years of experience with data structures or algorithms.
  • 2 years of experience building software for data privacy or security (e.g., identity and access management).
  • Experience developing APIs and integrating third-party services.

Preferred qualifications:

  • Experience or interest in programming languages, for example: Rust development and rolling out Rust in existing C++ codebases, building static analysis tools, linters or compilers implementing exploit mitigations or low-level systems feature.
  • Foundations in programming languages, compilers, static and dynamic analysis techniques.

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 Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Responsibilities

  • Design and implement new techniques and make them work for extremely large-scale software systems across many product teams.
  • Build strong partnerships and collaborate with partner teams in Google's Memory Safety program, as well as with industry and academia.
  • Research and apply innovative techniques for memory safety, from program analysis to machine learning.

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