---
title: "Aman Sinha - Engineering Manager in Bengaluru | Tal"
description: "Meet Aman Sinha, Engineering Manager | Checkout, Payments, Growth, CX & Platform | D2C & E-commerce based in Bengaluru. AI stack includes claude code, claude, and codex."
image: "https://tal.club/meet/aman-sinha-2/share-image"
---

# Aman Sinha on Tal

## Headline

Engineering Manager \| Checkout, Payments, Growth, CX &amp; Platform \| D2C &amp; E\-commerce

## About

Engineering Leader driving high\-impact outcomes at scale\. Currently managing 15\+ engineers across Checkout, CX, Growth, Merch and Platform Engineering at Licious—India's leading D2C meat &amp; seafood brand\. What I Build: Leading end\-to\-end engineering for mission\-critical consumer systems that directly impact revenue, conversion, and retention\. Deep expertise in: Checkout &amp; Payments: Architected payment infrastructure serving 1200K\+ transactions monthly with 90%\+ success rate\. Loyalty &amp; Growth: Built segmentation platform &amp; loyalty ecosystem scaling to 400K\+ active subscribers Platform &amp; Infrastructure: Led infrastructure optimization reducing operational costs by \~ $10\.5K/month \(75% MongoDB, 20% cache reduction\) MarTech Integration: Owned AppsFlyer, Firebase, MoEngage, Google Shopping Feed, and Meta Feed pipelines Leadership Philosophy: I believe in empowering engineers through clear technical direction, mentorship, and ownership\. My focus: Building high\-performing teams that ship fast, think big, and take pride in reliability\. Key Achievements : Scaled Loyalty Program from launch to 400K\+ active subscribers with bulletproof fault\-tolerant design Eliminated 100% downtime on legacy system through multi\-layered caching strategy Reduced infrastructure costs by $10\.5K/month \(75% MongoDB savings \+ 20% cache optimization\) Cut Customer Acquisition Cost through targeted Google Shopping &amp; Meta feed personalization Established in\-house segmentation platform eliminating engineering bottlenecks for marketing Technical Depth: 10\+ years building scalable backend systems\. Fluent in Java, Python, PHP, JavaScript\. Expert in microservices, Kafka, Redis, MongoDB, Elasticsearch\. Actively exploring GenAI applications for developer productivity \(AI\-assisted code review, automated test generation\)\.

## Location

Bengaluru

## AI stack

claude code

claude

codex

mcp

opencode

claudecode

## Work experience

Engineering Manager at Licious, Jan 2024 \- Present · 2 yrs 8 mos, Bengaluru, Karnataka, India, Leading 15\+ engineers across Checkout, Payments, CX, Growth, and Platform Engineering at India's leading D2C meat &amp; seafood brand\. Own end\-to\-end system architecture for cart, checkout, loyalty program, recommendations, and MarTech integrations\. Key Ownership Areas: Checkout &amp; Payments: Architected payment infrastructure handling 400K\+ monthly transactions with 99\.9%\+ success rate Loyalty Platform: Scaled loyalty ecosystem to 400K\+ active subscribers with fault\-tolerant design Growth Engineering: Built in\-house segmentation platform enabling product/marketing teams to create &amp; activate cohorts independently Infrastructure: Reduced MongoDB costs from $14K to $3\.5K/month \(75% savings\) and Elasticache by 20% through query optimization and architecture migration Leadership Impact: Hired 6\+ senior engineers and established technical hiring process Conducted 30\+ architecture reviews guiding system design across critical domains Mentored 5\+ senior engineers on technical leadership and system design Eliminated 100% downtime on legacy system through multi\-layered caching strategy Technical Expertise: Microservices, Kafka, payment gateway integration, MongoDB optimization, Redis/Valkey, Elasticsearch, and GenAI applications for developer tooling\.

SDE 3 at Licious, Dec 2021 \- Jan 2024 · 2 yrs 2 mos, Bengaluru, Karnataka, India, Senior backend engineer leading Pricing, Promotions, and Payments systems\. Owned end\-to\-end engineering for critical revenue and conversion systems with focus on reliability, performance, and cost optimization\. Key Achievements: Built Payments microservice from scratch, integrating multiple gateways with scalable REST API layer serving 400K\+ monthly transactions Achieved all\-time\-high payment success rates and lowest\-ever Order\-to\-Cash cycle time through systematic optimization Architected Pricing &amp; Promotions ecosystem driving burn reduction, revenue growth, and customer retention Led migration from monolith to microservice architecture with Kafka\-based async inter\-service communication Designed real\-time payment monitoring system with intelligent gateway enable/disable logic Implemented fault\-tolerant systems maintaining 99\.9%\+ uptime during peak traffic Technical Contributions: Built automated refund flow reducing manual processing by 85% Designed coupon validation engine handling 100K\+ requests/day with sub\-100ms latency Led system reliability improvements reducing incident response time by 60% Mentorship: Conducted 50\+ code reviews, mentored 4 junior engineers, and improved code coverage from 42% to 78%\. Tech Stack: Java \(Spring Boot\), MongoDB, MySQL, Redis, Kafka, Elasticsearch

SDE 2 at Licious, Jul 2020 \- Jan 2022 · 1 yr 7 mos, Bengaluru, Karnataka, India, Backend engineer building foundational platform systems\. Architected and launched Payments\-as\-a\-Service platform and Asset Management Service supporting all consumer\-facing applications\. Key Projects: Payments Platform: Built PaaS from scratch integrating Razorpay, Cashfree, and other gateways\. Designed REST API layer consumed by 6\+ upstream services handling 50K\+ daily transactions\. Implemented webhook processing, reconciliation, and payment status tracking\. Asset Management: Designed service for uploading, transforming, optimizing, and rendering web assets \(images, documents\)\. Implemented image optimization reducing file sizes by 45% while maintaining quality\. Technical Highlights: Designed scalable microservice architecture with async processing for long\-running operations Implemented caching strategies reducing API response time by 55% Optimized database queries reducing average query time from 800ms to 120ms Built CDN integration reducing asset delivery latency by 70% Designed database schema efficiently supporting 500K\+ assets with search and filtering Impact: Payment system now handles millions in GMV annually with 99\.9%\+ uptime\. Asset service powers all product imagery across platform\. Tech Stack: Java \(Spring Boot\), MongoDB, MySQL, Redis, RabbitMQ

Senior Software Engineer at Quikr, Jun 2018 \- Jul 2020 · 2 yrs 2 mos, Bangalore, Senior backend engineer leading Real Estate vertical \(QuikrHomes &amp; Commonfloor\)\. Owned architecture, system design, and technical mentorship for product serving 10M\+ monthly users\. Key Contributions: Led backend development for QuikrHomes and Commonfloor—architected property listing engine handling 500K\+ concurrent searches Built advanced Elasticsearch\-based search system improving search accuracy by 40% Designed location\-based ranking algorithm improving result relevance by 35% Created 8\+ revenue\-generating features including premium listings, featured properties, and sponsored results handling $2M\+ annual GMV Technical Leadership: Post\-acquisition: Led zero\-downtime migration of CommonFloor tech stack \(2M\+ users\) to Quikr platform Designed data migration pipeline from PHP/Laravel to Java/Spring Boot with zero data loss Built real estate marketplace features: property comparisons, price trends, market analytics Mentored 5\+ junior engineers on backend architecture and scalability patterns Conducted 40\+ peer reviews ensuring code quality and knowledge sharing Impact: Successfully integrated CommonFloor post\-acquisition while maintaining platform stability and improving system performance by 3x\. Tech Stack: Java \(Play\), PHP \(Laravel/Symfony\), JavaScript \(ES6/Angular\), Redis, Elasticsearch, MongoDB, MySQL, RabbitMQ

Software Engineer at Quikr, Apr 2017 \- May 2018 · 1 yr 2 mos, Bengaluru Area, India, Backend engineer managing technical integration of CommonFloor acquisition\. Led migration of critical user and ads systems from CommonFloor to Quikr's unified platform with zero downtime\. Key Achievements: Led migration of User and Ads entities from CommonFloor to Quikr's tech stack across 2M\+ user accounts Designed data migration pipeline ensuring zero data loss and seamless cutover Rewrote CommonFloor Post\-Ad backend from scratch—improved latency by 50% and scalability by 3x Built real estate ad management system handling 100K\+ daily ad creations and modifications Designed ads migration pipeline from legacy PHP architecture to modern Java microservices Impact: Successfully integrated CommonFloor acquisition with zero user impact and significant performance improvements across systems\. Tech Stack: Java \(Play\), PHP \(Laravel/Symfony\), JavaScript \(ES6/Angular\), Redis, Elasticsearch, MongoDB, MySQL, RabbitMQ

Associate Software Engineer at Quikr, Jun 2016 \- May 2017 · 1 yr, Bengaluru, Karnataka, India, Full\-stack engineer contributing to QuikrHomes product development and internal tools\. Built customer\-facing features and enterprise systems supporting sales operations\. Key Contributions: Full\-stack development for QuikrHomes using Java \(Play\), PHP \(Laravel\), JavaScript \(Angular\) Implemented property search, filtering, and real\-time updates for property listings Built responsive UI components for property details and comparisons Architected internal CRM tool for Quikr telesales team managing 50K\+ daily customer interactions Designed customer communication workflow system improving sales productivity by 25% Built reporting dashboard providing sales team real\-time performance metrics Tech Stack: Java \(Play\), PHP \(Laravel\), JavaScript \(AngularJS\), MySQL, Redis

Summer Intern at Quikr, May 2015 \- Jun 2015 · 2 mos, Bangalore, Summer internship contributing to multiple backend projects and tools\. Projects Delivered: Reverse image search tool using OpenCV—enabled users to find similar properties via image upload Ad\-to\-project mapping algorithm connecting classifieds to construction projects \(10K\+ matches\) Wikimapia/OpenStreetMap data crawler for location enrichment across platform Geospatial polygon validation &amp; editing tool for location\-based features Tech Stack: Python, JavaScript, PostGIS \(geospatial databases\)

## Education

Bachelor of Technology \(BTech\), Computer Engineering, Kalinga institute of industrial technology

Jawahar Vidya Mandir, Shyamali, Ranchi

[View the original profile](https://tal.club/meet/aman-sinha-2)

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