Sumit Arrawatia is a Staff Software Engineer II based in Austin with 14 years of experience building large-scale, data-intensive systems and platforms. He has deep expertise in real-time pipelines, Kafka ecosystems, Kubernetes/Docker orchestration and secure deployment practices, informed by roles at Confluent and early-stage startups like Quantiply. At Quantiply he helped design a self-service platform that provisions isolated, production-like workspaces (Kafka, Elasticsearch, HDFS, Spark) for rapid development and deployment of real-time apps ingesting billions of events. His open-source contributions to Confluent’s cp-docker-images emphasize automation, testing, and security (SSL, SASL, JMX), showing a practical focus on reliable, observable deployments. Trained in electrical engineering (NIT Surat) with an MS from Stanford, he blends rigorous systems thinking with product-minded engineering. Colleagues rely on him to translate complex distributed systems requirements into resilient, operational solutions.
14 years of coding experience
6 years of employment as a software developer
BE, Electrical Engineering, BE, Electrical Engineering at National Institute of Technology Surat
M.S, Management Science and Engineering, M.S, Management Science and Engineering at Stanford University
[DEPRECATED] Docker images for Confluent Platform.
Role in this project:
DevOps Engineer
Contributions:147 commits, 38 PRs, 23 pushes in 9 months
Contributions summary:Sumit primarily contributed to the automation and testing aspects of the Confluent Platform Docker images. Their work involved building and integrating tests using a testing framework, refactoring tests, and fixing build issues. They also added support for SSL, SASL, and JMX, demonstrating expertise in secure deployment and performance monitoring configurations. Finally, the user also added new features and made code changes related to the Kafka Connect component.
Contributions:22 commits, 11 pushes, 1 branch in 1 month
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Sumit Arrawatia - Staff Software Engineer II at Confluent