Persistent Disk Capacity Team Leader

1 Month ago • 8 Years + • Full Stack Development • DevOps • Backend Development • $248,000 PA - $349,000 PA

Job Summary

Job Description

The Persistent Disk (PD) Capacity Team Leader at Google will model and balance inventory efficiency across cloud clusters, collaborating with infrastructure and planning teams. Responsibilities include redesigning existing systems, planning external product sales, and effective cross-functional teamwork. PD provides mission-critical block storage to tens of thousands of Cloud Customers, powering AI/ML, Cloud Native, and Enterprise services. The team develops distributed systems for cloud block storage, focusing on a new Hyperdisk architecture. This role requires expertise in distributed systems, storage, and cloud technologies, addressing challenges in cost efficiency, high-volume transactions, low latency, high availability, and durability.
Must have:
  • Bachelor's degree or equivalent experience
  • 8 years software development experience
  • Capacity system, storage, cloud, distributed systems expertise
  • Cross-organizational teamwork
  • Model inventory efficiency and obtainability
Good to have:
  • Experience with large cross-organization teams
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development.

Preferred qualifications:

  • Experience working with a large number of cross-organization teams.
  • Experience with Capacity systems, Storage, Cloud, and Distributed systems.

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.

Persistent Disk (PD) provides mission-critical block storage solutions to tens of thousands of Cloud Customers: every GCE VM relies on disks provided by PD. The product is a core part of serving AI/ML, Cloud Native, and Enterprise customers.

The PD engineering team develops the distributed systems that powers cloud block storage, with focus on a new architecture to enables the cutting-edge product line Hyperdisk. The area is technically very challenging and the team needs depth across many domains due to the extreme customer requirements spanning from extreme cost efficiency, to millions of qps per client, to tail latencies in micro-seconds, to high availability solutions, extreme durability, and more

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

The US base salary range for this full-time position is $248,000-$349,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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 .

Responsibilities

  • Model and balance inventory efficiency and obtainability across all cloud clusters in collaboration with capacity infrastructure and planning orgs. 
  • Rethink and redesign existing systems.
  •  Rethink and plan how to sell products externally.
  • Work effectively over a number of cross-functional departments.

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