Join Google Cloud as a Software Engineering Manager and lead a talented team in shaping the future of business transformation. You'll combine deep technical expertise with strong leadership to drive major projects and foster engineer growth. This role offers a unique opportunity to contribute to Google's cutting-edge technologies and play a key part in developing innovative solutions.

This position involves managing teams across various locations and overseeing large-scale project deployments. You will be instrumental in defining project goals, contributing to product strategy, and developing your team's capabilities in areas like AI and large-scale system design. Embrace an AI-first approach to tackle complex, cross-functional challenges.

Google Cloud empowers organizations globally to digitally transform. We provide enterprise-grade solutions built on Google's advanced technology, enabling developers to build more sustainably. Businesses worldwide rely on Google Cloud to achieve growth and resolve their most critical challenges.

Set and articulate team priorities that align with overarching organizational objectives. Establish clear performance and development expectations for team members, providing regular feedback and coaching.

Shape the technical direction and roadmap for your team, anticipating future requirements and infrastructure needs. Guide and evaluate system designs, collaborating closely with the team to resolve complex problems.

Oversee the complete project lifecycle, from planning and design through execution and launch, ensuring successful delivery.

A Bachelor's degree or equivalent practical experience is required, alongside 8 years of software development experience. Candidates must have 3 years of full-stack development experience with back-end languages (Java, Python, Golang, or C++) and front-end technologies (JavaScript, TypeScript, HTML, CSS).

Significant leadership experience is essential, with a minimum of 3 years in a technical leadership role and 2 years in people or team management. Preferred qualifications include experience with scaled infrastructure, distributed systems, networks, compute technologies, and cloud platforms like Spanner and BigQuery.

Experience in software design, architecture, testing, and launching products is highly valued. Familiarity with building products using GenAI or Large Language Models (LLMs) is a strong advantage.