---
title: "Ayushi Shiv - Software development engineer 2 in Bangalore Urban | Tal"
description: "Meet Ayushi Shiv, Senior Software Development Engineer @Swiggy — Distributed Systems & Payments Infrastructure | Kafka · Go · Java · AWS · Microservices | Ex-Flipkart/Myntra, CarWale, Amazon | 8+ yrs | 100K+ TPS, 98% reliability based in Bangalore Urban. AI stack includes claude code, claude, and c..."
image: "https://tal.club/meet/ayushi-shiv/share-image"
---

# Ayushi Shiv on Tal

## Headline

Senior Software Development Engineer @Swiggy — Distributed Systems & Payments Infrastructure \| Kafka · Go · Java · AWS · Microservices \| Ex\-Flipkart/Myntra, CarWale, Amazon \| 8\+ yrs \| 100K\+ TPS, 98% reliability

## About

I build the payment infrastructure that isn't allowed to fail — the retries, idempotency checks, fraud validations, and rollback logic that move money for millions of users without anyone noticing they exist\. Over 8\+ years across Swiggy, Flipkart/Myntra, and CarWale, I've gone from writing my first production service to architecting payment gateway integrations, wallet migrations, and refund systems processing 100K\+ transactions a day at sub\-500ms p99 latency\. I work primarily in Go, Java, and event\-driven, distributed architectures \(Kafka, gRPC, Redis\), and I'm equally comfortable designing a system on a whiteboard and debugging it in production at 2am\. and I care about the craft: clean interfaces, observable systems, and infrastructure that the next engineer can actually understand\. What I've built and shipped: Took payment refund success rates from 70% → 98% by redesigning retry, idempotency, and circuit\-breaker logic — cutting manual ops effort by 85% Migrated 2M\+ users onto a new wallet system with zero fund loss and a full rollback safety net Led integration of 8\+ payment gateways handling 100K\+ daily transactions Cut CI pipeline time roughly in half and took automated test coverage from 45% → 85% Mentor engineers on system design, payments architecture, and production readiness What I work on: → Payment gateway integrations \(10\+ gateways across two companies\) → High\-throughput distributed systems in Go and Java → Resilience engineering — retry, circuit breakers, DLQs, fallbacks → Event\-driven architectures using Kafka and gRPC → Platform reliability — SLA dashboards, p99 latency, observability I'm looking for senior/lead engineering roles — ideally in fintech, marketplaces, or infrastructure — where I can keep building resilient, high\-scale systems and help other engineers get better at doing the same\. Open to remote opportunities\. Tech: Go · Java · Kafka · gRPC · Redis · DynamoDB · MySQL · AWS · Kubernetes · Spring Boot · Prometheus · Grafana

## Location

Bangalore Urban

## AI stack

claude code

claude

cursor

github copilot

Amazon Q Developer

ChatGPT

## Work experience

Software development engineer 2 at Swiggy, Sep 2021 \- Present · 5 yrs 3 mos, Bengaluru, Karnataka, India, Payments & Platform Engineering: Architected Offers application flow inside the payments system, worked on PayWithQR, a real\-time QR validation and fraud\-check solution that reduced dependency on cash\-on\-delivery Led integration of 8\+ payment gateways, designing scalable adapters that handle 100K\+ daily transactions at <500ms p99 latency Delivered the Swiggy Money wallet migration for 2M\+ users with zero fund loss, backed by a robust rollback mechanism Built the Cred Coins integration, partnering cross\-functionally to keep the checkout experience seamless Reliability & Performance: Designed a refund retry system \(retry logic \+ circuit breakers \+ idempotency\) that improved refund success rate from 70% to 98%, handling 50K\+ refunds/day and cutting manual effort by 85% Optimized the offer engine with Redis caching, reducing latency by 60% during peak traffic Built observability dashboards \(Prometheus \+ Grafana\) with SLA tracking and automated alerting Engineering Excellence: Cut CI pipeline execution time roughly in half \(55 min → under 25 min\) through parallelization Grew automated test coverage from 45% to 85% Mentor 5\+ engineers on system design, payment flows, and production readiness Skills: Go · Java · Spring Boot · DynamoDB · MySQL · Redis · Kafka · gRPC · AWS · Microservices · Distributed Systems

Software Development Engineer\-2 at Flipkart, Jul 2021 \- Aug 2021 · 2 mos, Bengaluru, Karnataka, India

Software Developer at Myntra Jabong, Sep 2019 \- Jul 2021 · 1 yr 11 mos, Bengaluru, Karnataka, India, Payments & Financial Systems: Redesigned the paisa\-apportioning algorithm, improving refund accuracy and reducing disputes by 40% Built a multi\-wallet refund retry system \(dead\-letter queue \+ idempotency\) that improved refund success from 65% to 98%, eliminating 15K\+ manual refunds a month Implemented circuit breakers and fallback mechanisms to improve resilience during partner outages Integrated 3\+ payment gateways using standardized adapters Optimized the bank offer ingestion pipeline from 4 hours to 15 minutes via parallel processing Owned features end\-to\-end — design, production rollout, and on\-call Reduced mean time to detect issues by 45% through improved logging and alerting Transitioned into the Flipkart Group's engineering org as part of Myntra Jabong's integration, continuing ownership of payments and financial systems work through the transfer

Software Development Engineer at CarWale, Jun 2018 \- Sep 2019 · 1 yr 4 mos, Mumbai Area, India, Built 8\+ microservices, including auth, payments, offers, and user systems Designed REST and gRPC APIs for scalable inter\-service communication Developed a React\-based frontend with optimized state management Designed database schemas and Elasticsearch indices achieving sub\-100ms query latency

Software Developer Internship at Amazon, May 2017 \- Jul 2017 · 3 mos, Greater Hyderabad Area, Built an event processing pipeline using SQS and SNS with encryption Refactored a monolithic listener into an independent microservice Achieved 90% test coverage through unit and integration tests

## Education

Bachelor of Technology \- BTech, Computer Science, Maulana Azad National Institute of Technology

12TH, Maths and Science, GYAN JYOTI HIGHER SECONDARY SCHOOL, NAINPUR

## Public links

- github: https://github\.com/ayushishiv
- leetcode: https://leetcode\.com/ayushishiv1996
- ayushishiv\.github\.io: https://ayushishiv\.github\.io/

[View the original profile](https://tal.club/meet/ayushi-shiv)

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