About The Position

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. The Persistent Disks (PD) Capacity space provides the models and systems that ensure we have sufficient resources for consumption within PD, enabling PD to defend its obtainability and performance Service Level Objectives (SLOs) while still operating with low costs. This is a key part of our mission to make block storage (Persistent Disk/Hyperdisk) a foundational cloud infrastructure differentiator while enabling accelerated growth of AI and non-AI workloads in enabling AI workloads is to make sure there is a disk available for training, inference, to boot the accelerator. 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.

Requirements

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience testing, and launching software products.
  • 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
  • 3 years of experience with software design and architecture.

Nice To Haves

  • 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 and setting technical direction.
  • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

Responsibilities

  • Design, build, and operationalize distributed systems that do everything from leveraging data science produced models to forecast resource usage and the resource reservation to providing the APIs used by the rest of PD for understanding capacity levels and resource availability.
  • Provide services that enable resource management through its entire life-cycle within PD, including obtaining the resources from Google Cloud's underlying capacity infrastructure, divesting resources when they are no longer needed, and managing their usage by customers in high performance scenarios.
  • Build tenancy protection mechanisms for resources, balancing fair resource distribution with the needs for enterprise and ML workloads.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

5,001-10,000 employees

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