Software Engineering Manager, Storage for AI Foundations

About the role

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team.

Responsibilities

• Mentor early-career software engineers (SWEs), help teams execute effectively, and facilitate relationships with cross-functional partners and customers across Google.
• Provide engineering and management leadership.
• Manage project schedules, identify execution risks, and clearly communicate them to project stakeholders.
• Work with customer teams across multiple product areas (PAs) to understand requirements for caching services and applications.
• Develop tools and processes to improve software engineering productivity of the team and organization.

Requirements

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience leading projects and designing, analyzing, and troubleshooting distributed systems.
• 8 years of leadership and management experience.
• Experience with distributed processing and large-scale data processing.
• Experience with C++, Spanner, API Design, API Development, Database Design, Flume.
• Experience with caching, content delivery, and cloud computing.

Preferred qualifications

• Master's degree or PhD in Computer Science or equivalent practical experience in a related field.
• Experience architecting, building, and maintaining large-scale, high-performance distributed systems.
• Experience building/designing: distributed systems, replicated state machines, database systems, infrastructure systems, networking, storage systems.
• Experience in distributed systems at the graduate level or above.
• Experience with large-scale systems which involve low latency fan-out and fan-in.
• Experience with debugging and triaging issues for large-scale production systems.
• Experience in people management, including setting technical direction, leading complex projects, and influencing executive stakeholders.

Benefits

• Health, dental, vision, life, disability insurance.
• Retail Retirement Benefits: 401(k) with company match.
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment.
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance.
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks.
• Baby Bonding Leave: 18 weeks.
• Holidays: 13 paid days per year.

Pay

US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits

Schedule

N/A