Staff Software Engineer, Site Reliability Engineering, Vertex AI

Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. The AI and Infrastructure team at Google empowers customers with AI and Infrastructure at unparalleled scale, efficiency, reliability, and velocity. The team works on cutting-edge AI models, TPU development, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, and systems research.

• Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
• 8 years of experience with data structures and algorithms.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience leading projects and designing, analyzing, and troubleshooting distributed systems.

Nice to have:

• Experience working in computing, distributed systems, storage, or networking.
• Ability to debug, optimize code, and automate routine tasks.
• Excellent problem-solving, with effective verbal and written communication skills.
• Eagerness to learn and apply new technologies in the rapidly evolving AI/ML space.
• Expertise in designing, analyzing, and troubleshooting large-scale distributed systems.
• Interest to understand root causes and complex system interactions.

• Drive the end-to-end reliability, scalability, and performance of large-scale Models and Artificial Intelligence (AI) workloads on Vertex AI.
• Architect and operate fleet management automation to securely manage, monitor, and upgrade one of the world's largest Google Cloud Platform (GCP) and Google Kubernetes Engine (GKE) environments.
• Optimize low-latency, high-throughput AI serving infrastructure, maximizing the efficiency, observability, and availability of accelerator resources.
• Partner with development teams on system design, launch reviews, and capacity planning to evolve data and control planes before services go live.
• Scale systems sustainably through self-healing software, eliminating toil and driving architectural changes that enhance deployment velocity and customer platform resilience.

In most instances, this position requires in-person interviews as part of the hiring process. Google is an equal opportunity employer committed to diversity and accommodation for applicants with disabilities.