What are the responsibilities and job description for the Senior Kafka Developer position at Intellibus?
Are you a Kafka Architect with a strong Java and FinTech background? Have you worked at a large financial institution and felt like your deep technical expertise and hands-on approach were underappreciated?
At Intellibus, we engineer cutting-edge platforms that power the financial trading industry.
Our Platform Engineering Team is solving the Multiplicity Problem and leading major Kafka-based transformations for some of the biggest names in FinTech. Join us to build scalable, high-throughput data streaming solutions that impact billions of transactions worldwide.
We are looking for Engineers who can
Design, build, and optimize Kafka infrastructure to handle millions of messages per second
Architect event-driven microservices leveraging Kafka Streams and kSQL
Develop Java-based streaming applications using Kafka, Spring Boot, and Flink
Implement multi-region Kafka deployments on AWS with automated failover
Tune Kafka producers, consumers, and brokers for low-latency, high-throughput workloads
Design schema evolution strategies using Apache Avro and Schema Registry
Implement Kafka security best practices (SSL, SASL, ACLs, RBAC)
Set up Kafka Connect with connectors for databases, object storage, and messaging queues
Optimize Zookeeper and Kafka cluster configurations for resilience and scalability
Use Terraform and Kubernetes to automate Kafka cluster deployments
Debug Kafka performance issues and perform capacity planning
Ensure 99.99% uptime for mission-critical financial systems
Qualifications
Bachelor's degree in Computer Science or a related field preferred (or equivalent experience)
10 years of Java development experience
7 years of Kafka experience in a production environment
Proven experience in high-performance, low-latency systems
Experience with AWS, Kubernetes (EKS), Terraform
Strong knowledge of Unix / Linux environments
Financial Services / FinTech experience preferred
Excellent communication and leadership skills
We work closely with
Kafka Ecosystem : Kafka, Kafka Streams, Kafka Connect, kSQL
Java 11
Spring Boot Microservices
AWS Cloud Services (EC2, S3, IAM, MSK, Lambda)
Relational & NoSQL Databases (PostgreSQL, Cassandra, Redis)
Terraform & Kubernetes (EKS)
Linux / Unix
Our Process
Schedule a 15 min Video Call with someone from our Team
4 Proctored GQ Tests (
30-45 min Final Video Interview
Receive Job Offer
If you are interested in reaching out to us, please apply and our team will contact you within the hour.
