Jatin Sinha

Software Engineer

Bengaluru, Karnataka, India5 yrs 9 mos experience

Highly Stable

Key Highlights

Designed systems for 50M+ users with high scalability.
Led POC on multiple databases achieving 60% cost reduction.
Created observability tools enhancing system reliability.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in SaaS and B2C environments.

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Skills

Core Skills

JavaSpring BootPythonAws

Other Skills

Python (Programming Language)java21AWS LambdaGrafanaKubernetesdynamodbObject-Oriented Programming (OOP)AlgorithmsWeb DevelopmentData StructuresMongoDBmysqlkafkaRedisDeep Learning

About

I’m a Software Engineer with 5+ years of experience building high-scale backend and distributed systems. I’ve designed systems serving 50M+ users, handling 100K+ RPS, and scaling services upto 700k+ RPS with single-digit latency during peak events like IPL. I’ve built and scaled systems across Java 21, Kafka, Cassandra, DynamoDB, Redis, Spark, AWS, and I care deeply about performance, reliability, and observability. More recently, I’ve also started building AI-driven features in legal tech AI domain using assistants and agents, combining real product impact with solid engineering fundamentals. I love building systems that are fast, reliable, and measurable. I’m always excited about solving hard engineering problems at scale.

Experience

5 yrs 9 mos

Total Experience

5 yrs 3 mos

Average Tenure

6 mos

Current Experience

Eudia

Software Engineer

Nov 2025 – Present · 6 mos · Bengaluru · On-site

Python (Programming Language)

Games24x7

2 roles

SDE-2

Promoted

Apr 2022 – Oct 2025 · 3 yrs 6 mos · Bengaluru · On-site

Designed and implemented a scalable Social Network, supporting up to 50M+ users. Enabled users to real-time track friends’ activities in matches and contests, and compare performances, enhancing engagement and user interaction.
Led a POC on multiple databases(Cassandra, Planetscale, Spanner), including DynamoDB for the primary database, enabling infinite scalability, zero maintenance overhead, and cost reduction of more than 60%.
Improved observability by creating a Monitoring System - Dynamo using Python, AWS Lambda, and Grafana that creates dynamic alerting supporting multiple datasources. The system calculates alert values based on older data and helps in reducing MTTD. Used across products to enhance observability by just providing configs.

java21Spring BootJava

SDE-1

Jul 2020 – Apr 2022 · 1 yr 9 mos · Bengaluru · On-site

Worked on carrom and had end-to-end ownership of a complete system. Also, redesigned and moved the carrom game architecture to move it to the server-level physics arch, which reduced fraud by 100%.
Moved existing credit-score calculation service(assigns credits to the player for a match) to AWS Lambda, thus reducing cost by 99%.

Spring BootJava