Ajoy Majumdar
Principal Engineer at Apple
Fremont, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAjoy Majumdar is a Principal Engineer with over a decade of experience architecting scalable distributed systems and cloud-native data platforms, now leading infrastructure efforts at Apple after a long tenure as a Senior Staff Engineer at Netflix. He specializes in data governance, petabyte-scale analytics, and reliable backend services—work exemplified by contributions to the widely used Netflix Genie orchestration project and public engineering posts on Metacat and Genie. Comfortable moving between hands-on coding and strategic leadership, he has repeatedly driven cross-functional initiatives to deliver discoverable, compliant, and performant big data ecosystems on AWS. Known for pragmatic reliability improvements—such as enhancing health checks, job completion semantics, and caching—to keep large services robust in production, he combines deep systems knowledge with a focus on enabling data-driven decision-making.
10 years of coding experience
24 years of employment as a software developer
MS Computer Engineering, MS Computer Engineering at University of South CarolinaBS Mechanical Engineering, BS Mechanical Engineering at Osmania University
Github Skills (14)
health-check10
javas10
java10
spring-boot10
microservices-application9
distributed-systems9
orchestration9
orchestra9
microservices9
performance-optimization8
big-data7
groovy6
testing6
spock6
Programming languages (1)
Github contributions (5)
Netflix/genie
Jul 2016 - Jan 2017
Distributed Big Data Orchestration Service
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 release, 53 commits, 33 PRs in 6 months
Contributions summary:Ajoy primarily contributed to the backend of the Genie project, focusing on health indicators, code refactoring, and job completion. They added a health indicator for physical memory usage, which included marking the service out-of-service if memory thresholds were crossed. The user also refactored code related to the job completion handling, including the addition of retries, and the handling of file caching, indicating a focus on reliability and performance. They also addressed issues with email notifications and other aspects of job processing.
microservicebigdataorchestrationconfiguration-managementnetflixoss
Netflix/metacat
Mar 2016 - Sep 2021
Contributions:122 releases, 58 reviews, 231 commits in 5 years 7 months
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