Sumit Tandon
Senior Software Engineer at Roku Inc.
San Francisco Bay Area United States
Summary
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Rockstar🎓
Top SchoolSumit Tandon is a senior software engineer based in the San Francisco Bay Area with over fifteen years of industry experience building large-scale, high-throughput distributed systems. He has designed and shipped low-latency, highly available web services at Netflix and helped architect an ad network at RockYou that served billions of impressions monthly, demonstrating deep expertise in caching, resilience, and performance tuning. At Netflix he delivered services handling millions of requests per second and added sub-millisecond caching layers; his open-source contributions include backend work on Netflix/genie (big data orchestration) such as GRPC job control and S3 archival integrations. Currently at Roku, he continues to tackle cloud-native engineering challenges and mentor teams on scalable system design. Sumit’s background spans research-grade search and ML-driven form analysis to production analytics and revenue systems, reflecting a rare blend of academic rigor and pragmatic product delivery. He thrives on solving hard engineering problems where distributed systems, cloud platforms, and performance intersect.
8 years of coding experience
17 years of employment as a software developer
Indian Institute of Technology KanpurThe University of Utah
English, Hindi
Github Skills (17)
java10
javas10
spring-boot10
microservices-application9
distributed-systems9
grpc9
microservices9
orchestra8
orchestration8
s3-bucket8
amazon-s38
big-data8
filelock8
aws-s38
testing7
Programming languages (1)
Github contributions (2)
Netflix/genie
Mar 2018 - Dec 2018
Distributed Big Data Orchestration Service
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2 releases, 15 commits, 23 PRs in 8 months
Contributions summary:Sumit primarily contributed to the backend of the "genie" project, evidenced by changes to Java code and related testing. Their work included exposing job tags within the job runtime environment and implementing a file-lock-based caching service. Additionally, the user implemented a GRPC implementation for job kill service interfaces, indicating involvement in service communication and job management. Furthermore, changes were made to handle v4 job kill request forwarding, persisting archival location prefix, and adding an S3 implementation for ArchivalService.
microservicebigdataorchestrationconfiguration-managementnetflixoss
sumitnetflix/genie
Mar 2018 - Dec 2018
Distributed Big Data Orchestration Service
Contributions:70 pushes, 21 branches in 8 months
orchestrationbig-datasparkdistributed-systemshadoop
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