Job Overview
Location
Bangalore, India
Job Type
Full-time
Category
Software Engineering
Date Posted
May 4, 2026
Full Job Description
đź“‹ Description
- • As a Member of Technical Staff, Networking at Pure Storage, you will contribute to the FlashBlade team, which builds high-performance, highly available storage solutions for mission-critical applications, enabling customers to leverage cloud agility without downtime.
- • You will engage in full life cycle software development, including architecture, design, coding in C and Python, debugging, integration with existing infrastructure, requirements analysis, and supporting new features for the FlashBlade Networking product area.
- • You will join a team of predominantly software engineers (over 90% of engineering staff) at Pure Storage, a company recognized as a Fortune Best Workplace in Technology and the Bay Area, and certified as a Great Place to Work®, dedicated to innovation and inclusive growth.
- • You will have the opportunity to deepen your expertise in networking protocols, distributed systems, and modern switch silicon, while growing your skills in collaborative, globally distributed product development and contributing to cutting-edge storage technology.
🏖️ Benefits
- • Innovation-focused culture that celebrates critical thinking and trailblazing
- • Support for personal and professional growth with space to contribute meaningfully
- • Flexible time off, wellness resources, and company-sponsored team events
- • Recognition as a Fortune Best Workplace in Technology™ and the Bay Area™, and Great Place to Work® certified
- • Commitment to inclusion, diversity, and employee resource groups
- • Accommodations for candidates with disabilities during the hiring process
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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