Software Engineer III, Context Intelligence, Knowledge Catalog

Google Inc.; Warszawa; On-site; PLN 280,000 - 287,000; Full time

Benefits offered by this job

Bonus target 15%

Equity

Benefits

Job summary

Google Inc. in Poland (Warsaw) is seeking software engineers to design, build, and operate large-scale data systems that power Google Cloud context services. You will work on backend services, search and graph algorithms, and data pipelines supporting enterprise AI applications.

Ideal candidates have a Bachelor’s plus hands-on experience with distributed systems and information retrieval. The role is based in Warsaw with opportunities to collaborate across Google Cloud teams.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of software development experience or 1 year with an advanced degree.
• Experience designing and operating distributed backend systems, data pipelines, or search services.

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.

Skills

Software development experience

Distributed backend systems

Data processing pipelines

Search services

Information retrieval systems

Graph data models

Search ranking algorithms

Evaluation frameworks for language

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in Computer Science or related fields

Tools

Cloud database internals

Query processing

Enterprise data governance platforms

Job description

corporate_fare Google place Warsaw, Poland

X In most instances, this position requires in-person interviews as part of the hiring process.

• 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.
  
• Experience designing and operating distributed backend systems, data processing pipelines, or search services.

Preferred qualifications:

• 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.

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 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.

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 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.Poland: zł280000 - zł287000 (PLN) + 15% bonus target + equity + benefitsLearn more about benefits at Google .

• 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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Equity is granted exclusively and discretely by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.