The role
From Google's own posting.
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.
In this role, you will help build the agent ecosystem: the primitives, guardrails, and knowledge integrations that enable data agents to author and operate autonomously, including validating impact, safety, and reversibility before any change is applied. As a part of this, data engineering agents on Google Cloud earn autonomy, and practitioners ship production pipelines without babysitting the automation.
Building agents is table stakes. Making them safe to run unattended is not.
"Agents you don't have to watch." Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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
Learn more about benefits at Google .
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.
Minimum qualifications:
Bachelor’s degree or equivalent practical experience.
2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies or storage.
2 years of experience with software development in one or more programming languages (e.g., Java, Python, C++).
Experience working with one or more of the following: distributed systems, backend services, cloud infrastructure, data processing systems or building developer platforms or frameworks.
Experience with AI Algorithms.
Preferred qualifications:
Master's degree or PhD in Computer Science or related technical fields.
Experience with Spanner or large-scale Google infrastructure.
Experience building APIs, platform primitives, or infrastructure consumed by other engineering teams.
Experience designing safety-critical systems.
Familiarity with agent/Large Language Model (LLM) orchestration frameworks, tool-use patterns, or workflow execution engines.
Proficiency in Java.
Bachelor’s degree or equivalent practical experience.
2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies or storage.
2 years of experience with software development in one or more programming languages (e.g., Java, Python, C++).
Experience working with one or more of the following: distributed systems, backend services, cloud infrastructure, data processing systems or building developer platforms or frameworks.
Experience with AI Algorithms.