Summary
Raj Shekhar is a Staff System Engineer with 17+ years of SRE and systems engineering experience, based in the San Francisco Bay Area, who has kept high-traffic consumer and ML platforms resilient since 2005. He specializes in performance tuning, capacity planning, multi-datacenter high-availability, and rapid incident response, with deep hands-on expertise in distributed systems, caching, load balancing, and observability. At Quantcast he operates Kubernetes clusters and a bespoke MapReduce-like RMR training infrastructure while driving release cycles and cost/tech-debt optimizations across cloud services. His prior SRE leadership at Twitter and Yahoo included running critical services such as monitoring, URL shortening, crawling, and live video monetization under intense traffic and tight SLAs. A pragmatic operator and mentor, Raj thrives on automating toil, postmortem-driven improvements, and enabling globally distributed teams to move fast without breaking things. He pairs a systems-first mindset with a background in large-scale web application reliability that often surfaces subtle capacity and cost opportunities others miss.
17 years of coding experience
20 years of employment as a software developer
High School Computer Science, High School Computer Science at Delhi Public School - Mathura Road
University of Delhi
English, Hindi