Srijan Mukherjee

About Srijan Mukherjee

AI is redefining how software is built. I work on the systems that make that future possible. I build and scale mission-critical platforms that power high-throughput, globally distributed systems.Currently, I lead engineering for Visa’s private cloud platform, driving the design and evolution of infrastructure that underpins secure, resilient, and scalable financial systems. My focus is on transforming infrastructure into a product—enabling developer velocity, operational excellence, and cost efficiency at scale.Over the past decade, I’ve operated across the stack—from low-level systems in aerospace software at Honeywell to cloud-native platforms in fintech—giving me a deep appreciation for reliability, performance, and real-world constraints.My leadership philosophy is simple- Build systems that scale without fragility- Build teams that operate with ownership and clarity- Use automation and AI to eliminate operational toilI am particularly interested in the next wave of engineering transformation- AI-assisted platform engineering- Autonomous infrastructure and self-healing systems- Developer experience as a competitive advantageI enjoy building high-performing teams, mentoring engineers into leaders, and driving initiatives that sit at the intersection of technology, business impact, and long-term strategy.Open to conversations around Senior Director / VP Engineering roles focused on platform engineering, cloud infrastructure, and AI-driven systems.

Experience

1. Director

   Visa

   Aug 2023 — Present · Bengaluru, IN

   Lead engineering teams building AI-native developer platforms and distributed cloud infrastructure services.* Delivered an agentic workflow platform enabling enterprise automation through natural-language interfaces.* Drove ~30% developer productivity improvements through Generative AI adoption across engineering teams.* Own a platform portfolio of 18 production microservices powering infrastructure lifecycle automation.* Scaled internal job execution systems to 10M+ annual runs, improving p95 latency and reducing infrastructure utilisation.* Co-authored multiple publications under Trade Secrets on Distributed Systems, Consensus Algorithms, and State Machines

Education

• SRM IST Chennai

  Bachelor of Technology (B.Tech.), Computer Science

  2009 — 2013

• Loyola School Jamshedpur

  Indian School Certificate, PCM

  2007 — 2009

Skills

• C#
• Design Patterns
• Angularjs
• Javascript
• Node.js
• Linux
• Xmpp
• Python
• .net
• Gstreamer
• Erlang
• Software Engineering
• Qt
• C
• C++
• Boost C++
• Multithreading
• Data Structures
• Java
• Algorithms
• Eclipse
• Programming
• Otp
• Java Enterprise Edition
• Mobile Applications
• Unix Shell Scripting
• Operating Systems
• Json
• Core Java
• Sql
• Html
• Visual Studio
• Abstract Factory
• Mvc
• Xml
• Clearcase
• Shell Scripting
• Ooad
• Windows
• Oop