
Job Overview
Location
Bangalore, India
Job Type
Full-time
Category
Software Engineering
Date Posted
April 8, 2026
Full Job Description
đź“‹ Description
- • As a Member of Technical Staff on the FlashBlade team at Pure Storage, you will architect, implement, and optimize core services that span on-premises arrays and cloud deployments, delivering seamless storage experiences to enterprises worldwide while driving innovation in high-performance networking products.
- • Day to day, you will manage the full software development life cycle from architecture and invention through development, release, and maintenance; drive technical strategy by influencing system design and architecture; invent and optimize algorithms for multi-array and multi-cloud storage systems; collaborate with global engineering teams across Silicon Valley, Prague, and Bengaluru; and own features from concept to production while mentoring engineers and championing code quality.
- • You will join a world-class engineering team that builds the industry’s most innovative, high-performance, and highly available storage portfolio, where over 90% of staff are software engineers, and customers rely on FlashBlade for its simplicity, continuous upgrades, and zero-downtime operation in mission-critical applications.
- • In this role, you will deepen your expertise in networking and low-level systems, influence the evolution of FlashBlade’s networking product area, grow your impact through end-to-end ownership of complex systems, and contribute to cutting-edge technology that enables enterprises to leverage cloud agility without sacrificing performance or reliability.
Skills & Technologies
About Pure Storage, Inc.
Pure Storage, Inc. is a Mountain View, California-based technology company that designs and manufactures all-flash storage arrays and data-management solutions for enterprise and cloud environments. Founded in 2009, it delivers NVMe storage, unified file-and-block platforms, and subscription services aimed at simplifying data operations and reducing total cost of ownership for large-scale workloads, databases, and analytics.
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