Software Engineer, Performance, Reliability, Observability, PhD, Early Career

Google is seeking a PhD-level Software Engineer to join their Technical Infrastructure team, focusing on performance, reliability, and observability. This role involves developing unified debugging, profiling, and analytics tools for Google Cloud control plane systems, with opportunities to explore machine learning for anomaly detection. The position combines deep technical work on VM performance analysis with research opportunities, including publishing findings and developing patents. As part of Google's engineering team, you'll work on critical projects that impact billions of users, with the chance to tackle challenges across distributed computing, system design, and AI. The role offers exposure to Google's massive-scale infrastructure and the opportunity to contribute to next-generation technologies. You'll be part of a team that maintains Google's data centers and platforms, ensuring optimal performance and user experience. This position is perfect for someone who combines strong technical skills with research expertise and wants to impact Google's core infrastructure.