Autonomous Data-Engineering Infrastructure Engineer

Google; Town of Montana (WI); On-site; USD 147,000 - 210,000; Full time

Job summary

Google Sunnyvale seeks a Software Engineer for Agentic Infrastructure for Data Engineering. You will work on building data agents and autonomous pipelines within Google Cloud, contributing to primitives, guardrails, and knowledge integrations.

You will mentor teammates, apply AI algorithms, and design scalable backend services while collaborating across teams to advance large-scale data processing and infrastructure projects in a fast-paced environment.

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.

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

Java

Python

C++

Education

Bachelor's degree or equivalent practical experience

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

Tools

Spanner

APIs

Job description

Google Sunnyvale seeks a Software Engineer for Agentic Infrastructure for Data Engineering. You will work on building data agents and autonomous pipelines within Google Cloud, contributing to primitives, guardrails, and knowledge integrations.

You will mentor teammates, apply AI algorithms, and design scalable backend services while collaborating across teams to advance large-scale data processing and infrastructure projects in a fast-paced environment.