What are the responsibilities and job description for the Java Engineer – Kafka & Stream Processing Solutions position at Intellibus?
Are you a Java Developer working at a Large Financial Institution and being told by your leadership that you are too hands on or detail oriented or think and work like a start-up?
Imagine working at Intellibus to engineer platforms that impact billions of lives around the world. With your passion and focus we will accomplish great things together!
We are looking forward to you joining our Platform Engineering Team.
Our Platform Engineering Team is working to solve the Multiplicity Problem. We are trusted by some of the most reputable and established FinTech Firms. Recently, our team has spearheaded the Conversion & Go Live of apps which support the backbone of the Financial Trading Industry.
We are looking for Engineers who can
- Write applications in Java using Object Oriented Design Principles
- Create Java Spring Boot REST Services
- Use Java Streams API to work with real time data
- Develop and optimize real-time data streaming applications using Flink or InfoSphere Streams.
- Design scalable, fault-tolerant, and low-latency stream processing solutions.
- Build and optimize Java Spring Boot REST services and integrate with databases via Hibernate / Spring Data.
- Work with Kafka to support high-throughput message processing.
- Deploy and manage Kafka clusters and Kubernetes (EKS) on AWS.
- Implement cloud-native solutions using Spring Cloud, Circuit Breakers, and Distributed Configurations.
- Optimize business logic & SQL queries, reducing latency and improving performance by 50% .
- Debug Java applications on Linux EC2 instance
Qualifications
We work closely with
Our Process
If you are interested in reaching out to us, please apply and our team will contact you within the hour.
