Engineering Manager, Nexus ML, Google Global Fleet

• 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.

• 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.