Cloud Engineer • Senior

Who you are

You have a Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience, along with 6 years of experience writing code in one or more general-purpose programming languages such as C++, Java, Python, or Go. Your expertise includes working with Linux/Unix systems and debugging issues across the hardware/software boundary on enterprise-grade server infrastructure. You excel in troubleshooting customer needs and triaging technical issues across the stack, including hardware faults, networking, virtualization, kernel drivers, and firmware performance.

You have experience working with distributed systems and are knowledgeable about common solutions, design patterns, or best practices. Your background includes working with Artificial Intelligence/Machine Learning (AI/ML) computing hardware, including Graphics Processing Units (GPUs) or other accelerators. You are familiar with containerization and orchestration technologies like Kubernetes or Slurm, and have experience with ML frameworks such as TensorFlow and PyTorch, understanding the AI/ML training and inference lifecycle. Your excellent troubleshooting and communication skills, combined with your attention to detail, make you a valuable asset to any team.

What you'll do

In this role, you will be part of the Google Cloud team, helping companies, schools, and government organizations seamlessly transition to Google products while providing ongoing support. You will listen to customers and swiftly problem-solve technical issues, demonstrating how our products can enhance productivity, collaboration, and innovation. You will collaborate closely with a cross-functional team of web developers and systems administrators, as well as with Engineering, Business, and customer organizations to resolve deployment and operational obstacles in AI infrastructure environments.

You will work with multiple Product and Engineering teams to identify ways to improve the product and interact with our Site Reliability Engineering (SRE) teams to drive production. Your role may require you to be available for non-standard work hours or shifts, which may include weekends as needed. You will be instrumental in ensuring that our AI infrastructure operates smoothly and efficiently, contributing to the overall success of our cloud solutions.

What we offer

At Google, we offer a dynamic work environment where innovation thrives. You will have the opportunity to work on cutting-edge technologies and collaborate with some of the brightest minds in the industry. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Join us in making a significant impact in the world of cloud computing and AI.