Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience programming in C++, Java, Python, Kotlin or Go. 5 years of experience testing, and launching software products. 3 years of experience with software design and architecture. Experience integrating generative AI tools or LLM interfaces into workflows. Experience with Technical Design, Data Integration, Design Documents, Leadership and Cross Functional Collaboration. 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. 3 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. Experience with Java and Mentoring. 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. Data Center Orchestration is responsible for coordinating and executing the physical processes in response to requested datacenter changes by sequencing the necessary operations and executing the optimized sequence. In a nutshell, if a machine is serving in a Google Data Center, it was deployed by Data Center Orchestration's software. The team is building a new architecture that will re-imagine how we orchestrate deployment of capacity to meet the exponential growth in complexity desired by our cloud and ML customers. 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 channel 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: $207000 - $301000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities Design, develop, test, and enhance large-scale software solutions using our internal workflow engine to build a foundational data center equipment fulfillment ecosystem. Lead, coach, and invest in a distributed team of 3 engineers, mentoring members on both technical and non-technical skills to foster a high-trust, high-performing environment. Define the strategic goal for your team, establish a clear execution roadmap, and manage project priorities, deadlines, and deliverables to support infrastructure growth. Partner with external stakeholders to determine optimal processes and facilitate alignment across teams on shared goals, outcomes, and timelines. Promote open communication and clarity across engineering boundaries, ensuring smooth orchestration of high-impact data center deployment projects.