Engineering Manager, Machine Learning Infrastructure, Google Cloud

Google Cloud is seeking an Engineering Manager to lead their Machine Learning Infrastructure team. This role combines technical expertise with people management, requiring a leader who can drive large-scale distributed systems and machine learning initiatives while developing and managing engineering teams. The position demands 8+ years of software development experience and strong leadership capabilities.

As an Engineering Manager at Google Cloud, you'll be responsible for setting technical direction, managing team priorities, and ensuring the delivery of robust machine learning infrastructure solutions. You'll work at the intersection of distributed systems and ML, leading projects that impact Google Cloud's global customer base across 200+ countries.

The role offers the opportunity to work with cutting-edge technology in machine learning and large-scale systems, while developing both technical and leadership skills. You'll be managing multiple teams, overseeing system designs, and contributing to product strategy. The position requires expertise in programming languages like Python, Java, or JavaScript, and experience with ML algorithms and tools.

This is an ideal role for experienced technical leaders who are passionate about machine learning infrastructure and want to make a significant impact at scale. You'll be part of Google's mission to accelerate digital transformation across industries, working with enterprise-grade solutions and cutting-edge technology. The role offers the chance to work in a complex, matrixed organization while contributing to Google Cloud's growth and innovation.

The position combines hands-on technical work with strategic leadership, requiring both deep technical knowledge and strong people management skills. You'll be responsible for developing your team members, providing technical guidance, and ensuring the delivery of high-quality solutions that meet Google's standards of excellence.