Minimum qualifications: Bachelor’s degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience with design and architecture; and testing/launching software products. Experience integrating generative AI tools or LLM interfaces into workflows. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures and algorithms. 5 years of experience in a technical leadership role leading project teams and setting technical direction. 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects. Familiarity with and interest in the current AI landscape (Large Language Model (LLMs), generative agents, etc). 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. In this role, you will serve as the Uber Technical Lead (UTL) for Observability Intelligence, driving initiatives to pivot SRE incident response toward an AI-driven paradigm, at a pivotal moment of Google's monitoring systems undergo a generational evolution. You will be a part of a transformative shift away from a disjointed collection of isolated tools into a cohesive, "Northstar" observability ecosystem. As a part of this role, we are seeking a leader with a proven history of managing business-critical domains, possessing the expertise to navigate architectural trade-offs between urgent product requirements and long-term technical durability. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $262000 - $365000 (USD) + 25% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities Drive technical project strategy, lead large-scale ML infrastructure optimization, and oversee the design and implementation of solutions across multiple specialized ML areas. Define and socialize a cohesive "Observability Intelligence" strategy that aligns with the broader Monitoring Northstar, ensuring we build shared technical concerns once and solve them for the entire organization. Represent the Observability Intelligence organization in high-stakes technical reviews and collaborate across organizational boundaries (AlertManager, AI Operations, Incident Response Management, and Site Reliability Engineering teams across all Product Areas) to drive consensus on critical observability standards. Act as the primary technical partner to Product Management, translating broad product "Whats" into scalable architectural "Hows." Lead high-level design reviews that ensure technical consistency across the stack, prioritizing interoperability, reusability, and semantic cohesion.