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.