Software Engineer III, Context Intelligence, Knowledge Catalog

Technologies we use

Expected

• Java
• Python
• Golang
• C++
• JavaScript
• TypeScript
• HTML
• CSS

About the project

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 Context Intelligence team builds the data discovery and context serving foundations for Google Cloud. When enterprise organizations use artificial intelligence assistants to analyze their data, those assistants need clear context about what tables exist, how datasets relate to each other, and how data is used across the business. Our team solves this by transforming raw metadata into structured, searchable knowledge.

Working from our engineering hub in Warsaw, you will join a collaborative group of engineers who design distributed storage systems, graph search services, and data analysis pipelines. You will partner directly with teams building cloud databases, data governance tools, and conversational assistants to shape how enterprises interact with their data.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Your responsibilities

• Design, build, and maintain distributed backend services that organize and deliver enterprise data context to AI agents across Google Cloud.
• Develop search, ranking, and graph traversal algorithms that identify relevant datasets, data relationships, and business definitions for user queries.
• Build data processing pipelines that analyze query history and usage patterns to automatically enrich metadata and filter out unused schema information.
• Create automated evaluation frameworks and testing tools to measure retrieval accuracy, response speed, and system efficiency.
• Collaborate with product managers and partner engineering teams across data analytics and artificial intelligence platforms to integrate new capabilities and support production operations.

Our requirements

• 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 full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
• Experience designing and operating distributed backend systems, data processing pipelines, or search services.

Optional

• Master's degree or PhD in Computer Science or related technical fields.
• Experience building information retrieval systems, graph data models, search ranking algorithms, or evaluation frameworks for language models.
• Experience with cloud database internals, query processing, or enterprise data governance platforms.

Benefits

• sharing the costs of sports activities
• private medical care
• sharing the costs of foreign language classes
• sharing the costs of professional training & courses
• life insurance
• remote work opportunities
• fruits
• corporate products and services at discounted prices
• integration events
• dental care
• corporate gym
• corporate sports team
• retirement pension plan
• saving & investment scheme
• corporate library
• no dress code
• coffee / tea
• drinks
• parking space for employees
• leisure zone
• extra social benefits
• meal passes
• redeployment package
• employee referral program
• opportunity to obtain permits and licenses
• charity initiatives
• extra leave