Software Engineer III, Agentic Systems and Production Safety

Google; Ionia (NY); On-site; USD 147,000 - 210,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Google is seeking a mid-level Software Engineer III for the Access Transparency (AXT) team in New York. You will design and build scalable backend systems, contribute to autonomous AI workflows, and help ensure compliant, transparent access auditing across Google Cloud.

Join a distributed, high-impact environment where you will work on Go/C++/Java code, apply knowledge of distributed systems, and collaborate with SREs to reduce toil and improve reliability.

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, storage or hardware architecture.
• Experience in Backend software development and Data Analysis.
• Experience in C++, Java or Go.

Responsibilities

• Write product or system development code.
• Build industry-first advanced logging and distributed tracing systems that ensure autonomous workflows and AI agents are transparent and compliant with strict regulatory standards.
• Design scalable technical architectures and produce well-tested code (primarily in Go, C++, or Java). Leverage AI-powered coding assistants to accelerate routine development, empowering you to focus your bandwidth on high-level system design and complex problem-solving.
• Design data pipelines, monitoring tools, and enforcement systems that enforce least-privilege access and significantly reduce the risk of manual operations in production environments.
• Partner with Site Reliability Engineers (SREs) and developers across the organization to replace operational toil with self-healing automation.

Skills

Backend development

Data analysis

C++, Java, Go

Education

Bachelor's degree or equivalent practical experience

Job description

Software Engineer III, Agentic Systems and Production Safety

Location: New York, NY, USA

Experience Level: Mid

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, storage or hardware architecture.
• Experience in Backend software development and Data Analysis.
• Experience in C++, Java or Go.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.
• 2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.
• 2 years of experience with data structures and algorithms in either an academic or industry setting.
• Proficiency in code and system health, diagnosis and resolution, and software test engineering.
• Understanding of the Generative AI/Large Language Model (LLM) landscape, including model evaluations, model capabilities, prompt engineering, fine-tuning, and agentic architectures.

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.

The Access Transparency (AXT) team is foundational to customer trust in Google Cloud Platform (GCP), ensuring every administrative access to user content is justified, transparent, and compliant with critical global standards. Within AXT, our team operates at the intersection of AI compliance and site reliability. We lead initiatives to eliminate operational risks by building self-healing automation and advanced telemetry that prevent unsafe manual interventions in production. We also build the foundational infrastructure that ensures autonomous AI workflows and agents remain verifiable, transparent, and compliant with strict regulatory standards. Joining this team means handling high-impact, distributed systems challenges that define how both human engineers and AI agents safely operate across Google Cloud. 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 Salary:

$147,000 - $210,000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Write product or system development code.
• Build industry-first advanced logging and distributed tracing systems that ensure autonomous workflows and AI agents are transparent and compliant with strict regulatory standards.
• Design scalable technical architectures and produce well-tested code (primarily in Go, C++, or Java). Leverage AI-powered coding assistants to accelerate routine development, empowering you to focus your bandwidth on high-level system design and complex problem-solving.
• Design data pipelines, monitoring tools, and enforcement systems that enforce least-privilege access and significantly reduce the risk of manual operations in production environments.
• Partner with Site Reliability Engineers (SREs) and developers across the organization to replace operational toil with self-healing automation.

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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.

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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.

Locations: Google, New York, NY, USA

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