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Form of workMinimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development, and with data structures/algorithms.
- 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
- 5 years of experience building and developing infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 5 years of coding experience in C++.
- 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, and/or cross-business projects.
- Expertise in Distributed Storage.
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.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
Google Cloud Storage is Google's highly scalable, distributed storage system for unstructured data. You will participate and tech-lead efforts to substantially overhaul and modernize the data serving infrastructure. You will work on the infrastructure that supports a big business stream and rapid exponential growth. You will be responsible for establishing a solid foundation to ensure the reliability of the service and enable the business expansion with a wide variety of use-cases and workloads.
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.
The US base salary range for this full-time position is $189,000-$284,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Break down the system into independent platforms where each has a stable, well-documented, and encapsulating interface.
- Provide fair resource isolation among users and protect the service from being overloaded.
- Keep the number of network hops at a minimum in major serving paths for latency and resources efficiency (i.e., CPU/RAM, network bandwidth, etc.).
- Simplify the stack and process to ensure code changes are easy to make, test, and rollout with minimal friction. Boost developers' confidence on making substantial architectural overhauls without worrying about breaking things.
