Subramania Pillai Namachivayam Pillai
Lead Software Engineer @Adobe
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WORK HISTORY
Lead Software Engineer @Adobe
San Jose, CA, US
Tech Lead for a mission-critical, multi-tenant streaming platform processing 500K+ messages/sec across globally distributed Kubernetes clusters.• Architected and built a Kafka Flow Controller enabling deterministic per-tenant RPS throttling without Kafka-native coordination, improving SLT compliance and eliminating noisy-neighbor impact.• Drove a critical-path redesign initiative delivering 60x throughput improvement in 60 days while maintaining fault tolerance and horizontal scalability.• Built statistical anomaly detection with adaptive baselining and AI-assisted reasoning to analyze correlated metrics and traffic patterns.• Partnered with Product and SRE to formalize SLAs/SLTs and operationalize peak traffic readiness.• Mentored engineers on concurrency control, distributed coordination, and low-latency system design.
EDUCATION
Anna University Chennai
Bachelor of Technology, Information Technology
National Institute of Software Education
HDCA, Computer Administration
Velammal Matriculation Higher Secondary School
HSC, Computer Science
National Institute of Information Technology (NIIT)
Diploma; Diploma, Computer Administration; NET Technologies (DDNT)
SKILLS
ABOUT SUBRAMANIA PILLAI NAMACHIVAYAM PILLAI
With over 13 years of experience, I specialize in designing and leading the development of high-throughput, low-latency distributed systems. At Adobe, I lead a globally distributed team managing a mission-critical streaming platform that processes over 500K messages per second across Kubernetes clusters. My expertise includes Kafka-based architectures, multi-tenant traffic isolation, and performance optimization. My work focuses on building scalable, resilient platforms and collaborating with product and SRE teams to establish SLAs and ensure operational excellence. I am deeply committed to mentoring development teams and driving technical clarity to deliver measurable and reliable outcomes for complex systems.
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