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Strong employer brand and metro location increase competition, but niche systems specialization reduces applicant density.
Highly specialized storage and systems expertise limits transferability across industries.
Requires deep systems, Linux, concurrency, and architecture expertise, creating strict technical filters.
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Lead architectural design and end-to-end delivery of high-performance, resilient distributed storage systems optimized for AI, analytics, and cluster computing workloads.
Own critical technological roadmaps influencing core architecture while collaborating closely with Product Management, Validation, and Customer Support to ensure six-nines reliability globally.
Mentor engineering peers, drive architectural standards, and resolve complex engineering challenges related to multi-threaded concurrency and Linux platform internals.
Strong expertise in Linux system programming and hands-on experience with C, C++, Python, Go, or Java.
Proficiency in object-oriented design, data structures, multi-threading, synchronization, concurrent programming, and distributed systems architecture.
Proven experience designing enterprise-grade, highly available systems and supporting complex production deployments.
Work Experience Required: Not explicitly mentioned in the JD; Location required: Bangalore office (primarily in-office environment).
Experienced leader with a track record of strategic architectural decisions for scale-out, high-availability storage systems handling data-intensive workloads like AI and analytics.
Skilled in driving cross-functional alignment across product management, validation, and support to ensure product stability and scalability.
Strong communicator able to influence technical stakeholders and elevate engineering standards through mentorship and architecture advocacy.