Hey, I'm Rajat Kumar! 👋
Backend Engineer focused on building scalable distributed systems, data-intensive services, and reliable platform infrastructure. I enjoy solving hard engineering problems around performance, data consistency, and system reliability — especially in high-throughput production environments.
Currently working on large-scale payment and backend systems at Amazon, with past experience scaling travel-tech infrastructure at tiket.com.
🚀 What I Work On
- Designing fault-tolerant microservices
- Building data pipelines & real-time systems
- Improving system reliability, observability, and performance
- Solving concurrency and data consistency challenges
- Developing platform components that other teams build on
🛠 Tech Stack
Languages
Java • Golang • C/C++
Backend & Distributed Systems
Spring Boot • Kafka • gRPC • Event-Driven Architecture • REST APIs • Microservices
Cloud & DevOps
AWS (Lambda, SQS, SNS, Fargate, CloudWatch) • Docker • Kubernetes
Databases & Storage
PostgreSQL • MongoDB • Redis • Elasticsearch
🌟 Impact Highlights
- ⚡ Reduced vendor onboarding cost by 75% by building a reusable Integrator Framework at tiket.com
- 🧠 Cut PostgreSQL CPU usage by 80% by designing a real-time Change Data Capture (CDC) system
- 💰 Prevented $100K+ annual losses by fixing race conditions using fine-grained locking & atomic operations
- 📉 Reduced backend server costs by 40% through service optimization and monitoring improvements
- 🔁 Automated production pipelines at scale, improving reliability, compliance, and deployment speed
📚 Engineering Interests
- Distributed Systems Design
- Data Platforms & Data Consistency
- High-Throughput System Architecture
- Reliability Engineering & Observability
- Scalable Backend Infrastructure
📌 Projects
You’ll find repositories here related to:
- Microservices architectures
- Performance optimization tools
- Concurrency experiments
- Backend utilities and system design implementations
📫 Let’s Connect
Always learning. Currently exploring deeper into data platforms, large-scale system design, and cloud-native backend architecture.