Headline

SDE II @ Flipkart | Ex-Razorpay, Credit Saison | Java, Go, Distributed Systems | Fintech & E-commerce | Microservices

About

Senior Software Engineer with 5 years of experience designing, architecting, and building high-scale distributed backend systems across e-commerce, payments, and lending domains. Currently leading end-to-end development for the Seller Payments team at Flipkart, with prior core engineering experience at Razorpay and Credit Saison India. I specialize in high-scale transactional platforms, data-intensive streaming pipelines, and financial infrastructure—regularly designing for systems handling 20K+ QPS and $60M+ USD in monthly volume. My experience spans Java and Go-based microservices, distributed systems, high-availability data layers (PostgreSQL, Aerospike), and large-scale product engineering. I have a proven track record of driving systems from initial High-Level Design (HLD) through to production ownership and scale optimization. Strong in data structures, algorithms, system design, and performance tuning. I enjoy solving complex distributed systems problems and building reliable engineering solutions with direct business impact. Tech: Go · Java · Spring Boot · Kubernetes · Apache Flink · PostgreSQL · Aerospike · AWS · System Design · Distributed System 🌐 Actively exploring Senior SWE / SDE-3 roles globally. Relocation and visa sponsorship required. 📩 ravipandey71998@gmail.com

Location

Bengaluru

AI stack

claude code

claude

codex

cursor

gemini

claudecode

Work experience

Software Development Engineer 2 at Flipkart, Feb 2025 - Present · 1 yr 7 mos, Bengaluru, Karnataka, India, Experience Highlights Financial Systems & Performance SQL to FDP migration via Flink CDC Pipeline & DB archival Spearheaded the migration of high-volume claims data from SQL to a centralized Flipkart Data Platform (FDP) using Flink CDC, and executed strategic database archival that slashed production disk utilization from 94% to 49% while unlocking enterprise-wide data access. Rate Card Revamp & Dashboard: Spearheaded the end-to-end development of the core Rate Card system and a self-serve dashboard, enabling 15K+ monthly active sellers to simulate fees (Mart, Platform) based on product dimensions and categories. Result: Improved seller NPS by 2% and significantly enhanced transparency for IPO compliance. High-Scale Service Optimization: Optimized TDS calculation services to handle 20K+ QPS, ensuring high availability during peak traffic while improving security via automated package validation. BBD Readiness & NFR: Conducted Non-Functional Requirement (NFR) testing for business reporting services, scaling capacity from 1K to 10K requests per second to ensure stability during Big Billion Days (BBD). Data Engineering & Infrastructure Retail Unification (Data Archival): Architected a migration strategy for high-volume Alpha/Gamma seller PnL data from Elasticsearch to FDP, overcoming storage limitations. Enabled financial reporting for sellers contributing 50% of platform order volume. Automated Data Archival: Designed and implemented an automated data archival system from SQL to Aerospike using Quartz job scheduling to optimize database performance and cost. Cloud Migration: Successfully led the migration of the Biz Report Generator service from VM-based infrastructure to Kubernetes (K8s), improving resource utilization and deployment agility. Key Technical Skills Demonstrated Scalability: Handling 20K+ QPS, NFR testing, and K8s migration. Data: Aerospike, FDP (Data Platform), SQL, Elasticsearch.

Software Development engineer at Razorpay, Aug 2024 - Feb 2025 · 7 mos, Bengaluru, Karnataka, India

Software Engineer - II at Credit Saison India, Apr 2023 - Aug 2024 · 1 yr 5 mos, Banglore, -> Led development of chat module with tagging -> discrepancy management (80% reduction in application rejections) -> balance transfer (50+ crore disbursed per quarter) -> document e-sign integration (cost reduced from 400 to 50 rupees per document) -> cheque disbursement integration, insurance integration (50+ crore revenue annually) and DSA dashboard creation.

Software Engineer - I at Credit Saison India, Feb 2022 - Mar 2023 · 1 yr 2 mos, Bengaluru, Karnataka, India, Currently working as a full stack developer. Engaging in partner integration in our platform, having a brief understanding of the following tech stacks Programming languages: Java, JavaScript, python Frameworks : Spring, Springboot, React, VueJs, Hibernate Using cloud technology such as AWS, EC2, Code pipelines, CloudFormation, Lambda, SQS, CloudWatch DB: PostgreSQL.

Member Of Technical Staff at Mindstix Software Labs, Aug 2021 - Feb 2022 · 6 mo, Pune Division, Maharashtra, India, As part of this project, I worked on Amway Taiwan's e-commerce application, developed a cart, checkout, and many more features. Project live Url: https://shop.amway.com.tw/ TechStack: Javascript, NodeJs, ReactJs, ExpressJs, Api, JSON, Api integration, Java

SDE Intern at Naaniz, Jun 2020 - Jul 2020 · 2 mos, India, Worked with AI/ML Team of 30+ members on an Image classification-based Model in PyTorch on Indian Dishes Classification. Created the labelled dataset of 60000 dishes images for Project Dishes Classification Dataset is belong to 243 classes Implemented a VGG-19 model pre-trained on Imagenet dataset with fine-tuning Model is executed on Google Colab. Achieved 87% validation accuracy of dishes classification

Education

BTech - Bachelor of Technology, Computer Science And Engineering, Guru Ghasidas Vishwavidyalaya, Bilaspur

Intermediate, Science Stream, Government Inter College Pratapgarh