You'll join the core engineering team building AI-powered and data-driven products in the banking & financial ecosystem.The systems you build are not just CRUD — they need to handle large-scale data, real-time processing, and high-performance transactions.

This is a good fit if you enjoy:

Working on scalable distributed systems
Solving complex backend & data problems
Building systems that directly impact millions of users

What You'll Do

Design, develop, and maintain high-performance backend systems using Java/Spring Boot
Build and optimize microservices architecture and RESTful APIs
Work with real-time data pipelines and event-driven systems (Kafka, Redis)
Handle large-scale data processing and low-latency systems
Ensure code quality through code reviews, testing, and best practices
Deliver end-to-end: from design development testing production
Collaborate closely with product, data, and platform teams

What We're Looking For

1-5 years of experience in Backend Engineering
Strong experience with Java (Spring Boot)
Solid understanding of Data Structures & Algorithms
Good foundation in OOP & SOLID principles
Experience with SQL/NoSQL (MySQL, PostgreSQL, MongoDB)
Hands-on with Microservices & RESTful APIs
Familiar with Kafka, Redis or similar systems
Strong plus (highly preferred for this role)
Experience working with high-performance, low-latency systems
Hands-on with large-scale or real-time data processing
Understanding of distributed systems & system design

Experience with:

Data processing frameworks (e.g. Spark, Flink)
OLAP / analytics DB (e.g. Doris, StarRocks, ClickHouse)
Search systems (e.g. Elasticsearch)
Experience with Docker/Kubernetes & Cloud environments

Ideal candidate

Strong problem-solving mindset (not just coding)
Able to work independently and handle complex systems
Comfortable working in fast-moving, high-scale environments
Eager to learn and go deeper into system design & data platform

Backend Engineer (Java) - AI & Data Platform