Software Engineer, Agentic Infrastructure for Data Engineering

Google

Sunnyvale (CA)

On-site

USD 147,000 - 210,000

Full time

6 days ago
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Job summary

Google Sunnyvale, CA is seeking a Software Engineer for Agentic Infrastructure for Data Engineering to advance autonomous data pipelines and agent ecosystems. The role emphasizes building scalable backend services, collaborating across teams, and ensuring safe, efficient operation at Google scale.

Ideal candidates have 2+ years in distributed systems, backend services, or AI-related work, with proficiency in Java, Python, or C++.

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 with AI Algorithms.
  • Experience with distributed systems, backend services, cloud infrastructure, data processing systems or building developer platforms or frameworks.

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.

Education

Bachelor's degree or equivalent practical experience
Master's degree or PhD in Computer Science or related fields

Tools

Java
Python
C++

Job description

Software Engineer, Agentic Infrastructure for Data Engineering

Google

Sunnyvale, CA, USA

Mid

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

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.
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.

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.

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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

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.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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.

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