Engineering Manager: Distributed Systems & ML Leadership

Google; Seattle (WA); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

PTO 20 days/year

Sick time 40 hours/year (Seattle 69)

Maternity leave 28-30 weeks

Baby bonding leave 18 weeks

Paid holidays 13 days

Job summary

Google in Seattle is building a demand tracking platform to keep order health visibility across operations and supply chain. The team focuses on AI-enabled infrastructure at Google-scale and collaborates across data centers globally to deliver reliable, scalable systems.

The role centers on leading engineers, shaping architecture for large-scale data pipelines, and driving high-impact engineering initiatives within a fast-growing environment.

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.

Responsibilities

• 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.

Skills

Leadership

Team management

Distributed systems design

Software development

Programming languages

Education

Bachelor's degree in Computer Science or related field

Job description

Google in Seattle is building a demand tracking platform to keep order health visibility across operations and supply chain. The team focuses on AI-enabled infrastructure at Google-scale and collaborates across data centers globally to deliver reliable, scalable systems.

The role centers on leading engineers, shaping architecture for large-scale data pipelines, and driving high-impact engineering initiatives within a fast-growing environment.