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 (< 2 hours)
 - 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.