Director Of Engineering, Leading The Smart Storage Vision For AI Data Architectures
United States
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Summary
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Senior
🎓
Top School
Raja Loganathan is a seasoned engineering leader with 13+ years building and scaling cloud storage and database systems, currently directing the Smart Storage vision for AI data architectures at Google. He has deep hands-on experience across AWS services including DynamoDB, ElastiCache, and RDS, and previously led global data governance, security, and compliance for Google Cloud Storage supporting 100k+ customers. Raja specializes in exabyte-scale distributed systems focused on high performance, availability, and correctness, and has repeatedly built teams and control planes that run thousands of multi-tenant instances with predictable low-latency behavior. He combines technical depth—from dataplane design to changelog streams and concurrency patterns—with strategic product leadership and enterprise customer engagement. Unusually, Raja blends startup-style engineering at AWS with enterprise-scale program leadership at Google, and is actively recruiting for engineers passionate about solving exabyte-scale storage challenges.
13 years of coding experience
12 years of employment as a software developer
Stanford Executive Program (SEP), Stanford Executive Program (SEP) at Stanford University Graduate School of Business
MS, Computer Science, MS, Computer Science at Georgia Institute of Technology
Amazon ElastiCache Cluster Client for Java - enhanced library to connect to ElastiCache clusters.
Contributions:8 commits in 5 months
clustersamazonelasticacheamazon-elasticacheaws
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Raja Loganathan - Director Of Engineering, Leading The Smart Storage Vision For AI Data Architectures