Headline

Senior Software Engineer @ Paytm | Building 100M+ Scale Distributed Systems | Java • Spring Boot • Kafka • Cassandra • Microservices

About

Backend engineer at Paytm. I build distributed systems that move money and messages for 100M+ users every day. What that looks like in practice: 🔹 Redesigned a notification system from scratch — cut infra cost by 82% ($500/mo → $90/mo), zero downtime 🔹 Built the central data layer for Paytm's recharge platform — 16 Kafka topics, dual-store persistence (Cassandra + MySQL) 🔹 Designed an end-to-end SMS parsing system serving 200M users daily 🔹 Modernized a monolithic bill processor into microservices handling 70M+ records 🔹 Led AI-driven engineering across 10+ repos — built an AI deployment orchestrator and MCP server integrations connecting AI agents to Jenkins, Bitbucket, Jira, and Grafana Stack: Java • Spring Boot • Kafka • Cassandra • MySQL • Aerospike • Spark • Hudi • Node.js • Python What I care about: clean architecture, observability, killing legacy code, and writing systems boring enough to sleep through on-call. Lately I'm spending a lot of time at the intersection of backend infra and AI tooling — figuring out how agents can actually be useful inside engineering workflows. 4 Paytm awards along the way: Rising Star (Dec'22) and Rock Star (Dec'23, Jan'26). Open to chatting with engineers building cool infra, folks working on AI and recruiters with interesting backend roles. 📩 rupeshjha909@gmail.com

Location

Noida

AI stack

codex

cursor

claudecode

Work experience

Senior Software Engineer at Paytm, Jul 2024 - Present · 2 yrs 2 mos, Owning backend infrastructure for Paytm's bill payments and recharge platform — systems serving 100M+ daily transactions across Java, Spring Boot, Kafka, and Cassandra. 🔹 Distributed Notification System — 100M+ daily alerts, 20M+ users, 99.9% uptime 🔹 Drop-Off Reminder Redesign — 82% infra cost reduction ($500 → $90/mo) 🔹 Recharge Saga Microservice — 16 Kafka topics, dual-store persistence 🔹 Recharges BFF — sub-50ms latency with Aerospike caching 🔹 AI-Powered Engineering Platform — automated deployment orchestrator, MCP integrations across Jenkins, Bitbucket, Jira, Grafana Tech: Java, Spring Boot, Kafka, Cassandra, MySQL, Aerospike, Node.js, Python, Claude Code, MCP Servers

Software Engineer at Paytm, Jun 2022 - Jul 2024 · 2 yrs 2 mos, Noida, Uttar Pradesh, India

Software Engineer Intern at Paytm, Jan 2022 - Jun 2022 · 6 mos, Noida, Uttar Pradesh, India

Data Science Intern at Indian Institute of Technology, Patna, Jun 2021 - Jul 2021 · 2 mos, Patna, Bihar, India, Project: Data-Driven Prediction of Battery Cycle Life => Led a project focused on accurately predicting the cycle life of batteries before experiencing capacity degradation. => Analyzed measurements obtained during a limited number of charging cycles to ascertain battery health and predict its remaining lifespan. => Developed a methodology to efficiently estimate the number of cycles a battery has undergone and forecast its potential lifespan before reaching a critical state. => Machine Learning algorithms including K-Nearest Neighbors (KNN), Naïve Bayes, Logistic Regression, Support Vector Machine (SVM), Decision Tree, and Random Forest. => Achieved an exceptional accuracy rate of 97%, showcasing the effectiveness of the chosen methodology and algorithms => Demonstrated the ability to provide accurate cycle life predictions for batteries, enabling proactive maintenance and resource allocation.

Data Science Intern at The Sparks Foundation, Oct 2020 - Oct 2020 · 1 mo, => Implemented a Decision Tree Classifier on the well-known IRIS dataset for multi-class classification. => Visualized the decision tree graphically to gain insights into the classification process and improve interpretability. => Demonstrated the ability to make accurate predictions for new data points based on the trained model. => Utilized Supervised Machine Learning techniques to predict the percentage of marks for a student based on the number of study hours. => Developed a Linear Regression model to establish the relationship between study hours and academic performance. => Achieved accurate predictions, enabling informed decision-making for educational support and resource allocation.

Education

Bachelor of Technology - BTech, Electronics and Communications Engineering, National Institute of Technology , Patna

Intermediate, PCM, Sri Chaitanya College of Education