Senior Staff Software Engineer, App Hub

Define the roadmap enabling Agentic Applications in Cloud. Be responsible for authoring concepts and partnering with Google leadership to deliver.Understand Data Models and develop an Intelligent Query layer on top of multiple data sets. Work across multiple disparate systems of Gemini Cloud Assist, App Platform, Design Agent, Observability and drive a common on-boarding journey across multiple teams.Own the overall design, architecture, and implementation strategies. Establish and maintain high technical standards, ensuring code quality, reliability, and performance.Drive cross-organizational collaboration across sites and external partners to build a durable Google Cloud native and third-party, Agent, and MCP ingestion and serving layer.Own Complex, Multi-Dimensional Roadmaps collaborating with Distinguished engineers and Google Fellows working on Exabyte scale Storage Solutions for Agentic Applications.Minimum qualifications:Bachelor's degree or equivalent practical experience.8 years of experience programming in C++.5 years of experience with design and architecture; and testing/launching software products.Experience with distributed computing, big data analytics, cloud computing, multi-tenant cloud, or AI.Preferred qualifications: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.Experience in designing and building high-performance back-end systems.Understanding of distributed systems (networking, high queries per second serving stack) and developing at scale.Ability to motivate, mentor, and provide constructive feedback to team members with excellent problem-solving and technical decision-making skills.Proven track record of solving ambiguous problems that span across multiple components/domains.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. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $262000 - $365000 (USD) + 25% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor's degree or equivalent practical experience.8 years of experience programming in C++.5 years of experience with design and architecture; and testing/launching software products.Experience with distributed computing, big data analytics, cloud computing, multi-tenant cloud, or AI.