Lead critical initiatives within the Google Cloud Business Platform (GCBP) as a Software Engineering Manager. You will spearhead the incentives workstream, enhancing existing systems with an AI-first perspective. This role involves tackling complex, cross-functional business challenges and fostering collaboration with UX, Product Managers, and operations teams. Immerse yourself in Google's advanced technology stacks and user flows within a fast-paced, dynamic environment.
Guide a team of exceptional engineers in delivering high-impact software solutions at Google Cloud, a platform empowering organizations globally to achieve digital transformation. We provide enterprise-grade solutions leveraging cutting-edge Google technology, enabling developers to build more sustainably. Trusted by customers in over 200 countries, Google Cloud is the partner of choice for growth and solving critical business problems.
Set and effectively communicate team priorities that align with overarching organizational objectives, ensuring strategy, processes, and decision-making are cohesive across multiple teams. Establish clear performance expectations tailored to individual roles and levels, fostering growth through regular feedback, coaching, and development discussions.
Define and refine the technical roadmap for your team, anticipating future requirements and infrastructure needs. Drive the design, guidance, and vetting of system architectures within your domain, collaborating closely with your team to resolve complex, ambiguous challenges. Oversee the complete project lifecycle, from planning and design through execution and successful launch.
Possess a Bachelor's degree or equivalent practical experience, coupled with a minimum of 8 years in software development. A solid foundation in full-stack development is crucial, with at least 3 years of experience across back-end technologies (e.g., Java, Python, Golang, C++) and front-end expertise (e.g., JavaScript, TypeScript, HTML, CSS).
Demonstrate at least 3 years in a technical leadership capacity and 2 years in people management or team leadership. Preferred qualifications include 7 years of experience building scaled infrastructure, distributed systems, or networks, or expertise with compute/storage technologies like Spanner or BigQuery. 5 years of experience in software product design, architecture, and launch is also valued, alongside experience with Generative AI (GenAI) or Large Language Models (LLMs).
Technology