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Strong Tier-1 brand but niche PhD/distributed-systems requirement reduces applicant density.
Highly domain-specific cloud networking and distributed-systems skills reduce cross-industry transferability.
PhD requirement plus specialized distributed-systems and networking expertise creates highly strict shortlisting.
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Own design, development, and delivery of product features for Google Cloud Platform hybrid connectivity products, driving projects from design to launch with limited oversight.
Design and implement highly scalable, reliable, and secure distributed systems for hybrid cloud networking with sound technical judgment and proactive system improvements.
Collaborate across Engineering, Product Management, SRE, and Networking teams; contribute to technical decisions, handle production health, monitoring, and on-call support, driving reliability and observability initiatives.
PhD degree in Computer Science, Electrical Engineering, or related technical field.
Experience in software development focusing on large-scale distributed systems, AI/ML, networking, data storage, or security.
Experience in architecture or development of distributed systems including concurrency, multi-threading, synchronization, and algorithms/system design.
Proficient in coding with one or more of: C, C++, Python, Java, or Golang.
PhD with specialized research expertise and strong coding experience particularly in C++/Go.
Proven ability to architect and develop large-scale distributed systems with deep understanding of concurrency, multithreading, synchronization, and networking protocols (e.g., TCP/IP, BGP).
Comfortable making technical decisions with limited guidance, working cross-functionally, managing production health and reliability at scale, and engaging in knowledge sharing and technical hiring activities.