Applied AI Software Engineer, Data Engineering Agent

Google Inc.; Sunnyvale (CA); On-site; USD 147,000 - 210,000; Full time

Benefits offered by this job

Equity compensation

Bonus target

Benefits

Job summary

Google Inc. is hiring an Applied AI Software Engineer for the Data Engineering Agent team in Sunnyvale, CA.

You will work on large-scale infrastructure and ML/AI platform development, collaborating across teams to deploy agentic ELT/ETL capabilities and data processing workflows. The role emphasizes distributed systems, backend engineering, and hands-on work with AI platforms, with opportunities to impact enterprise data workloads and product development.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
• 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies or storage.
• Experience with the following: Backend, Distributed Systems, Machine Learning Infrastructure.

Responsibilities

• Write product or system development code.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst 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.

Skills

Backend

Distributed Systems

Machine Learning Infrastructure

Education

Bachelor’s degree or equivalent practical experience

Job description

Applied AI Software Engineer, Data Engineering Agent

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corporate_fare Google place Sunnyvale, CA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Share Applied AI Software Engineer, Data Engineering Agent

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
• 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies or storage.
• Experience with the following: Backend, Distributed Systems, Machine Learning Infrastructure.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.
• Experience programming in Java, C++, or Python.
• Experience with Generative AI Agent, AI Platform, Machine Learning, or Intelligent Agent.
• Experience using collaborative notebook-based workflows (e.g. Jupyter) for prototyping and knowledge sharing.
• Expertise in AI/ML product and platform development, quality evaluation framework and improvement.
• Passionate about delighting enterprise customers, and an excellent understanding of enterprise workloads.

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.

We are part of Data Cloud where we are responsible for developing agentic ELT/ETL capabilities to orchestrate and manage data processing end-to-end. Our mission is to accelerate and democratize our customers’ journey to digital insights and AI.
The Data Engineering Agent team's mission is to democratize data engineering expertise, making it accessible to every data worker. In this role, you will be working on building agent harness, reasoning engine, skills, evals, agent APIs, Gemini integrations and evaluation-framework for Data Engineering Agents. You will have the opportunity to work with BigQuery, Data Integration, Google Cloud Platform (GCP) Data Analytics BI, GCP Titan/Gemini, Vertex AI and other GCP services and work across domains of machine learning platforms and algorithms, distributed systems among others.

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.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

• Write product or system development code.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst 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.

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.

Equity is granted exclusively and discretionarily 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.