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Tier-1 employer and metro location increase applicants, but niche kernel/object-storage skills limit candidate pool.
Deep Linux kernel and object-storage expertise limits cross-industry transferability.
Explicit 11+ years and deep kernel, storage, cloud, and automation requirements make filters highly stringent.
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Design, build, monitor, and maintain multi-cloud distributed systems infrastructure with focus on a third-party object store spanning 2,000+ Linux servers.
Lead design and implementation of a custom S3 compatible object store solution and drive technical projects across teams including mentorship of junior engineers.
Improve processes, systems, and tooling for forecasting usage and operate in a 24x7 production environment during 2PM-11PM IST shift.
11+ years professional experience with large scale distributed systems.
BS/MS degree in Computer Science or related field or equivalent experience.
Extensive Linux internals knowledge including virtual memory, process scheduling, storage I/O and kernel-level troubleshooting.
Experience with on-premise and Kubernetes-native or AWS S3-compatible object storage technologies, networking fundamentals, automation with Python/Go and Chef or Ansible.
Experienced senior engineer comfortable owning large-scale hybrid cloud object storage infrastructure and leading cross-functional technical teams.
Strong technical fluency in Linux systems, networking and distributed storage to drive collaboration and elevate team technical IQ.
Skilled in automation, monitoring, performance tuning, and using analytics/forecasting to support operational excellence and growth planning.