Software Engineer, Agentic Infrastructure for Data Engineering

About This Role

This engineering role focuses on building the agent ecosystem, including the primitives, guardrails, and knowledge integrations that enable data agents to author and operate autonomously. The work involves validating the impact, safety, and reversibility of changes before they are applied, allowing data engineering agents on Google Cloud to gain autonomy and practitioners to ship production pipelines without constant oversight. The role suits a software engineer who wants to work on next-generation technologies that change how billions of users connect, explore, and interact with information.

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

Requirements

• 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

Nice to have:

• 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

Benefits

• 15% bonus target
• Equity
• Benefits

Application Process

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

About the Company

Google's software engineers develop next-generation technologies. Google Cloud accelerates every organization’s ability to digitally transform its business and industry, delivering enterprise-grade solutions that leverage Google’s cutting-edge technology. 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.