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Senior, niche skillset plus strong employer brand yields moderate applicant density.
Highly specialized kernel and large-scale Kubernetes platform skills limit transferability across industries.
Explicit 8+ years plus mandatory kernel, Kubernetes, and language skills enforce strict filters.
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Design and maintain high-performance Kubernetes fleet management system for cluster, AZ, and node lifecycle operations including rapid adoption of Kubernetes releases.
Contribute to Linux kernel development and tuning to improve scalability, reliability, and security of the cloud infrastructure.
Build automation and diagnostic tools in Go and Python, and implement observability frameworks to monitor and ensure infrastructure reliability at scale.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Minimum 8 years of experience with Linux systems, including Kubernetes and Linux kernel development.
Proficiency in programming languages such as C++, Go, or Python.
Experience with containerized applications and building scalable cluster management systems.
Experienced in infrastructure lifecycle management, specifically end-to-end automation of cluster and node lifecycle processes.
Strong knowledge of Linux OS internals including kernel debugging, process scheduling, memory management, and networking.
Capable of identifying system-level gaps, proposing solutions, leading technical projects, and collaborating across teams to drive infrastructure improvements.