Lovish Dua

Software Engineer

Noida, Uttar Pradesh, India2 yrs 11 mos experience

Key Highlights

Expert in building scalable backend systems.
Proficient in optimizing high-performance applications.
Strong foundation in system design and algorithms.

Stackforce AI infers this person is a Backend Engineer specializing in Fintech with a focus on scalable systems.

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Skills

Core Skills

Microservice ArchitectureApi DesignSpring BootCore Java

Other Skills

KafkaRedisDatabase shardingLow-Level DesignSolid principlesDesign PatternsDistributed SystemsRepresentational State Transfer (REST)Spring FrameworkJavaConcurrency and MultithreadingAspect-Oriented Programming (AOP)ElasticsearchCode DesignBusiness Requirements

About

Backend Engineer with close to 3 years of experience building scalable, resilient, and high-performance systems in the fintech and payments domain. At Paytm, I work on Super Router, the core payment routing platform responsible for smartly orchestrating transactions across multiple gateways. I’ve been involved in designing and developing real-time services for order lifecycle management, implementing sharded transactional databases using Apache ShardingSphere, and optimizing system throughput and reliability to handle heavy transaction volumes seamlessly. Proficient in Java, Spring Boot, microservices, REST/gRPC, Kafka, Redis, SQL and NoSQL databases. Strong in system design principles , data structures, and algorithms, with a keen focus on building efficient and maintainable backend architectures. Driven by a passion for clean design, scalability, and solving complex engineering challenges that make large-scale systems run smoothly.

Experience

2 yrs 11 mos

Total Experience

2 yrs 9 mos

Average Tenure

2 mos

Current Experience

Adobe

Software Engineer II

Mar 2026 – Present · 2 mos · Noida · Hybrid

Microservice architectureApi Design

Paytm

Software Engineer

Jun 2023 – Mar 2026 · 2 yrs 9 mos · Noida, Uttar Pradesh, India · On-site

Contributed to Super Router, Paytm’s core payment routing platform that powers high-frequency, real-time payment flows across multiple gateways.
Led performance tuning initiatives : optimized database queries, connection pooling, timeout handling, and logging to achieve higher throughput and stability during heavy loads.
Designed distributed cron systems to coordinate time-driven operations reliably across services at scale.
Built Kafka-based event pipelines to process order transitions with and resilient recovery under transient failures using Retry with exponential backoff.
Developed gRPC services for high-speed internal communication, enabling seamless coordination between routing and order systems.
Maintained strong data consistency using sharded transactional databases and Redis caching wherever necessary.
Scaled core order lifecycle components and routing workflows, supporting peak transaction volumes efficiently.

Spring BootCore Java