Pure Storage · Santa Clara, California
Skills: Accessibility
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 Join our Core Engineering team to power the foundation of our Enterprise Data Cloud, delivering six 9s of system reliability to global enterprises. In this role, you will take end-to-end ownership of core platform components, solving complex distributed systems challenges through thoughtful software design. Partnering closely with cross-functional engineering teams, you will drive features from concept to production, directly shaping how organizations scale their most critical data. WHAT YOU'LL DO Advance Platform Reliability & Scale: Design and build resilient, high-throughput distributed algorithms to sustain six 9s of continuous uptime across the Enterprise Data Cloud engine. Drive End-to-End Feature Delivery: Lead key platform initiatives from architectural design through production rollout, expanding overall system capabilities for enterprise customers. Resolve Complex System Challenges: Evaluate multi-faceted engineering issues across distributed consensus, resource allocation, and fault tolerance to guarantee performance under high workloads. Collaborate Across Engineering Teams: Partner daily with peer engineers to conduct rigorous design and code reviews, share technical expertise, and influence long-term platform architecture. WHAT YOU BRING C++ Systems Engineering: Technical proficiency writing clean, maintainable, and concurrent C++ production code for high-performance systems. Distributed Systems Know…
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