Software Engineer, Data Cloud Memorystore

Staff Software Engineer, Data Cloud Memory store

Location:

Kirkland, WA, USA

Compensation: US $207,000 – 301,000 + 20% bonus target + equity + benefits

• Health, dental, vision, life, and disability insurance
• 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing 6.15 hours per pay period for the first five years
• Sick Time: 40 hours per year (69 hours per 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
• Paid holidays: 13 days per year

Google’s Cloud Memory store team builds highly‑available, high‑performance cache‑as‑a‑service for Google Cloud Platform customers, delivering services such as Valkey, Redis, and Memcached on a secure, scalable infrastructure.

As a Staff Software Engineer, you will lead the development of long‑term technical strategy, drive architecture and design, and guide a distributed engineering team in delivering functionality to large, demanding customers. You will partner closely with Product Managers to define product direction and work with multiple GCP teams to ensure alignment and integration.

• Provide technical leadership on high‑impact projects and influence architecture decisions.
• Set and execute the long‑term technical roadmap for the Memory store services.
• Coach and collaborate with a distributed team of engineers to deliver quality software solutions.
• Align cross‑functional teams on goals, outcomes, and timelines.
• Manage project priorities, deadlines, and deliverables.
• Design, develop, test, deploy, maintain, and enhance large‑scale software solutions.

• Bachelor’s degree in Computer Science or equivalent practical experience.
• 8 years of programming experience in C++.
• 5 years of experience building large‑scale infrastructure, distributed systems or networks.
• 3 years of experience with software design and architecture.
• Experience with Redis, Memcached or similar caching/database systems.

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 3 years of experience in a technical leadership role leading project teams.
• 3 years of experience working in a complex, matrixed organization involving cross‑functional projects.
• Experience building managed services, especially caching, proxy, database, or storage services.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law.

See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

English proficiency is a requirement for all roles unless stated otherwise in the job posting.