Software Engineer III, AI/ML, Google Cloud Storage

About the role

MINIMUM QUALIFICATIONS:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming

languages such as C++, Golang, Java, or 1 year of experience with an advanced

degree.

• Experience with large-scale distributed infrastructure systems.
• Experience with AI/ML systems in a customer facing production environment.
• Experience in Generative AI (e.g., large language models, multi-modal, model

training and evaluation).

PREFERRED QUALIFICATIONS:

• Master's degree or PhD in Computer Science or related technical fields.
• 2 years of experience with developing large-scale infrastructure, distributed

systems or networks, or experience with compute technologies or cloud

storage.

• Experience in Google technologies and platforms.
• Experience building high-volume data pipelines and resolving complex system

scalability bottlenecks.

• Ability to troubleshoot and mitigate production incidents under strict

service level agreements (SLAs) to minimize customer impact.

• Passionate about enterprise products, with a focus on growing our Cloud

offerings in the space.

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.

Google Cloud Storage (GCS) builds a planet-scale distributed storage system that

manages exabytes of data for global enterprises, startups, and Google's core

services (like Drive, Gmail, and YouTube).

As a Software Engineer, you will drive the GCS Autonomous Storage Management

charter by building Agentic AI solutions. Collaborating closely with Product

Managers and Technical Leads, you will design and build the core architecture of

AI products that efficiently manage billions of cloud objects, ensuring a

seamless, highly accurate, and reliable experience for cloud operators.

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.
• Collaborate with peers and stakeholders through design and code reviews to

ensure best practices amongst available technologies (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.

• Design and build intelligent Storage AI Agents that automate customer storage

management tasks, automatically tag data to assist AI researchers, and drive

ongoing GenAI accuracy and security improvements.