Avinash Kumar Singh

Senior Software Engineer

Mumbai, Maharashtra, India3 yrs experience

Highly Stable

Key Highlights

Expert in backend development and API design.
Proven experience in real-time data processing.
Strong foundation in cloud architecture and performance optimization.

Stackforce AI infers this person is a Backend Developer specializing in FinTech solutions with expertise in API development and cloud technologies.

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Skills

Core Skills

Api DevelopmentBackend DevelopmentCloud Architecture

Other Skills

ksqlDBRedisLinuxPostgreSQLApache KafkaKafkaKotlinJavaGCPKubernetesCI/CDCachingFastAPIFlaskCompression

About

A programmer eager to work on challenging tasks. Focus on writing clean, readable and optimized code. Being a team player i enjoy enhancing both my programming and personal skills.

Experience

3 yrs

Total Experience

3 yrs

Average Tenure

3 yrs

Current Experience

Jm financial services ltd

2 roles

SDE-II

Promoted

Apr 2025 – Present · 1 yr 2 mos · Mumbai, Maharashtra, India · On-site

Led backend development for the DIY Demat account journey, driving API design, scalability, and feature delivery. Designed and implemented a real-time CDC pipeline using Kafka, ksqlDB, and custom connectors to stream transactional data into Elasticsearch, enabling sub-second analytics and reliable multi-channel notifications

ksqlDBRedisLinuxPostgreSQLApache KafkaAPI Development+1

SDE-I

May 2023 – Mar 2025 · 1 yr 10 mos · Mumbai, Maharashtra, India · On-site

Designed and scaled high-performance APIs in Kotlin/Java, built real-time notification services, and led the backend for complex financial workflows. Experienced in architecting secure, cost-efficient solutions on GCP with Kubernetes, CI/CD automation, and performance optimizations using caching and network hardening

KotlinJavaGCPKubernetesCI/CDCaching+2

Paynearby

SDE Intern

Mar 2022 – Jul 2022 · 4 mos · Mumbai, Maharashtra, India · Remote

Built a high-performance log ingestion system on Apache Kafka with ~4ms latency and optimized log storage with 70% space savings via compression. Led API migration from Flask to FastAPI, cutting response times and adding robust API versioning.

Apache KafkaFastAPIFlaskAPI Development