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X In most instances, this position requires in-person interviews as part of the hiring process.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• 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

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of software development experience, with 7 years specializing in large-scale distributed systems, infrastructure (compute/storage), and production environments using Kubernetes.
• 8 years of experience in software development, with a focus on building distributed high throughput and latency sensitive systems.
• 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• 5 years of experience testing and launching software products.
• 3 years of experience with software design and architecture.

Preferred qualifications:

• Master's degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures/algorithms.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• Experience in designing and building high-performance backend systems. Proven track record of solving ambiguous problems that span across multiple components/domains.
• Understanding of distributed systems (e.g., networking, high qps serving stack) and developing at scale.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) 20% bonus target equity benefits

Learn more about benefits at Google .

Responsibilities

• Apply concepts of Interleaving and Placement to scale distributed changelogs, guarantee data integrity, and build resilient, fault-tolerant replication and recovery mechanisms that proactively manage hardware failures and network partitions, enforcing a 0 data loss guarantee across Terabytes/Petabytes of state.
• Collaborate with dependent serving systems and product teams to safely deprecate legacy architectures, manage quotas, and ensure our storage layer manages cascading traffic spikes.
• Define the multi-year technical roadmap for the storage infrastructure, anticipating scale limits and pioneering next-generation architectures before current systems break.
• Serve as a technical multiplexer and mentor, guide executive engineers through distributed systems design reviews, and establish standards for excellence.