Rahul Kaukuntla is a pragmatic software engineer with two years of professional experience building cloud-native integrations and tools, currently focused on improving Datadog’s agent and configuration management for performance, reliability, and security. He brings hands-on experience across Python, Go, and Java from shipping integrations (vSphere, OpenStack, Cloudera, Jenkins) and rebuilding a side binary to simplify secrets management for AWS/Azure backends. Rahul has practical cloud ops chops—deploying and managing test environments on AWS/GCP—and a strong TDD discipline honed at Datadog and Google internships. At Google he diagnosed noisy‑neighbor performance issues for disaggregated SSD deployments and implemented probes and analysis tooling that fixed multi-year gaps in validation logic. Trained at MIT and comfortable bridging product and engineering (previously interning in product management), he combines systems-level curiosity with product awareness to deliver measurable operational improvements. Based in New York, he tends to surface subtle performance and reliability risks early, turning them into robust, testable solutions.
2 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Massachusetts Institute of Technology
High School Diploma, High School Diploma at Strath Haven High School
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