Engineering Manager, Nexus ML, Google Global Fleet

Job description

Manage and grow a team of software engineers, fostering a culture and guiding their career development. Lead the design, development, and architecture of large-scale distributed systems and data pipelines. Drive the technical strategy and roadmap for Nexus machine learning (ML) capacity engineering initiatives. Collaborate with cross-functional stakeholders to integrate multi-component systems and ensure their successful adoption. Guide software development best practices using general-purpose programming languages to deliver scalable, high-quality infrastructure solutions. Minimum Qualifications: Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. 8 years of experience in software development. 3 years of experience managing a technical team. Experience with software development using a general-purpose programming language. Experience architecting and developing distributed systems. Preferred Qualifications: Experience with large-scale infrastructure and distributed systems. Experience with data pipelines, analytics, or billing systems.