Qode
Backend Engineer (Java) - AI & Data Platform
TLDR
Join a core engineering team focused on creating AI-powered products that require handling large-scale data and real-time processing, impacting millions.
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
Qode is a technology-driven platform that transforms how recruiters and candidates connect by leveraging data and automation. Our solutions streamline the hiring process through machine learning, creating private talent pools and automating workflows, ultimately enhancing the quality of candidate evaluation and decision-making. With our no-code tools, we empower organizations to develop tailored recruitment strategies without needing extensive technical skills.
- Industry
- Internet Software & Services
Backend Engineer