Mudit Goyal

Backend Engineer

Bengaluru, Karnataka, India6 yrs 3 mos experience

Key Highlights

Engineered high-scale financial systems at Kotak 811.
Reduced AWS costs by $240k/year through microservices migration.
Increased platform orders by 4% with real-time catalog system.

Stackforce AI infers this person is a Backend Engineer specializing in Fintech and E-commerce with a focus on high-scale systems.

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Skills

Core Skills

JavaMicroservicesHigh-scale Engineering

Other Skills

Spring BootEvent-Driven ArchitectureAWSRedisPythonSQLMongoDBHTMLC++HTML5Microsoft PowerPointMicrosoft WordMicrosoft OfficeCascading Style SheetsC

About

Backend Engineer specializing in building secure, regulatory-compliant financial systems and high-scale distributed architectures. Currently, I work as an SDE-II at Kotak 811 (India’s 3rd largest private bank), where I engineer the Insurance Tech vertical. My focus is on architecting robust integration layers that connect the banking app with external insurance providers, ensuring 100% data consistency, strict PII security, and seamless user experiences even during downstream vendor outages. Previously, I was a Core Backend Engineer at Meesho, where I tackled massive scale. I designed aggregation engines handling 50,000 requests per second (RPS) and led the migration of monolithic pricing logic to microservices. Core Engineering Philosophy: I build systems that prioritize Reliability and Fault Tolerance. In Fintech/Insurance, a failed API call isn't just an error—it's a missing policy for a user. Technical Arsenal: Languages: Java (17+), Python, C++ Backend: Spring Boot, Microservices, Event-Driven Architecture (Kafka) Data & Infra: MySQL, Redis, Docker, Kubernetes, AWS

Experience

6 yrs 3 mos

Total Experience

2 yrs 2 mos

Average Tenure

1 yr 2 mos

Current Experience

Kotak811

Software Development Engineer II

Apr 2025 – Present · 1 yr 2 mos · Bengaluru, Karnataka, India

JavaSpring BootMicroservicesEvent-Driven ArchitectureAWS

Meesho

3 roles

SDE-II

Promoted

Jan 2024 – Apr 2025 · 1 yr 3 mos

Core Backend Engineer for E-commerce platform.
High-Scale Engineering: Scaled the Product Aggregation Engine to handle 50,000 requests per second (RPS), reducing P99 latency by 40% via Redis caching.
Cost Optimization: Led the migration of Pricing Logic from Monolith to Microservices, reducing AWS infrastructure costs by $240k/year ($20k/month).
Business Impact: Built a Real-Time Catalog Replacement system that increased total platform orders by 4%.

RedisMicroservicesAWSJavaSpring BootHigh-Scale Engineering