Senior Software Engineer, Calendar Serving Search Quality
GoogleJobsCloseBy Editorial Insights
Google in Zurich is seeking a Senior Software Engineer, Tools and Infrastructure to build scalable backend and testing tooling for Calendar Serving and Search Quality. You’ll work on the Calendar Backend Serving stack, including the data model, Spanner storage, CoreAPI, Rosy, CalDav, and integration with the workspace search stack, with a strong focus on reliability, low latency and data consistency. Ideal candidates have 3-5 years of software development experience in Python, C, C++, Java or JavaScript and 1-3 years of ML exposure, plus familiarity with Search Infrastructure or Search Quality, Google Workspace and ML. To apply, highlight concrete impact on performance and maintainability, show cross functional collaboration, and demonstrate an approach to evaluation frameworks, quality loss analysis, and corpus optimization and adoption.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience. 3-5 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- 3-5 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- 3-5 year of experience with data structures or algorithms. 1-3 year of experience implementing ML concepts
Preferred qualifications:
- Search Infrastructure
- Search Quality
- Google Workspace
- Machine Learning
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 technical challenges as well as accelerated career growth.
The Calendar Backend Serving team is responsible for Calendar's synchronous backend serving stack, focusing on real-time request and response handling. This includes managing the data model, Spanner storage, low-level business logic, and ensuring reliability, low latency, and data consistency. The team develops and maintains critical internal and external APIs, such as CoreAPI, Rosy, and CalDav, as well as the integration into the workspace agentic search stack.The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.
Responsibilities
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- Evaluation Framework
- Quality Loss Analysis
- Calendar Corpus Optimization
- Calendar Corpus Adoption
- Cross-Functional Strategy