Anirudh Sharma is a Lead Software Engineer with over a decade of experience architecting cloud-native, event-driven systems for high-throughput financial platforms. He has driven migrations from legacy MQ to Kafka and built reusable Kafka consumer frameworks and billing pipelines that now serve hundreds of teams and process billions of transactions monthly. Known for improving observability and reliability—integrating OpenTelemetry, Prometheus, and Grafana to cut MTTR by 35%—he also architects distributed transaction and reconciliation systems that achieve four-nines reliability. At Visa and Goldman Sachs he scaled customer communication and billing systems to millions of users and thousands of TPS while leading small engineering teams and automating releases. Recently he’s been applying GenAI to developer productivity (AI code reviews, auto-sprint planning) and exploring AI-driven developer tools and platform observability beyond typical backend work.
10 years of coding experience
10 years of employment as a software developer
Bachelor of Technology (B.Tech.) Electronics and Communications Engineering, Bachelor of Technology (B.Tech.) Electronics and Communications Engineering at Government Engineering College, Ajmer
Personal Finance Mastery Personal Finance, Personal Finance Mastery Personal Finance at The 1% Club
Contributions:38 commits, 24 pushes, 1 branch in 1 month
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Anirudh Sharma - Lead Software Engineer at Alteryx