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Member of Technical Staff, FlashBlade

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Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem.

This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.

THE ROLE

As a core member of the FlashBlade product team—one of Pure Storage’s fastest-growing business units—you will help build and evolve our scale-out, all-flash file and object storage platform built for high-performance AI, modern backup, and real-time analytics. You will tackle complex distributed systems challenges at the intersection of algorithms, operating systems, and high-concurrency architectures to deliver six-nines reliability. Collaborating closely with Product Management, Validation, Support, and customers, you will directly shape how modern enterprises process and manage data at massive scale.

WHAT YOU'LL DO

  • Architect & Deliver Core Storage Systems: Drive end-to-end design, implementation, and delivery of high-performance distributed systems algorithms, taking innovations from early concept to production-grade shipped features.
  • Solve High-Impact System Complexities: Analyze and resolve complex architectural, kernel, and concurrency bottlenecks across storage platforms, ensuring continuous enterprise-grade uptime and operational resilience.
  • Collaborate Across Engineering Teams: Partner with cross-functional stakeholders—including Product Management, System Validation, and Customer Support—to align technical design proposals with evolving business and customer requirements.
  • Elevate System Quality & Reliability: Own the overall software quality, performance, and maintainability of enterprise-scale data pipelines, storage internals, and concurrent system components.
WHAT YOU BRING