Software Engineer III, Agentic Systems and Production Safety

About the role

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: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

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.