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 empowers Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. The team works on projects including TPUs, 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.

Preferred qualifications:

• Experience working in computing, distributed systems, storage, or networking.
• Ability to debug, optimize code, and to 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.
• Interest to deep dive to understand root causes and complex system interactions.
• Expertise in designing, analyzing, and troubleshooting large-scale distributed systems.

• 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.

Google is an equal opportunity workplace and affirmative action employer committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Applicants with disabilities can request accommodations by completing an accommodations form.