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# Senior Software Engineer - NBA

- **Company:** Humana Inc.
- **Location:** Topeka, KS, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Business Logic, Microsoft Azure, Cloud Computing, Code Review, Continuous Integration, Drools, Software Engineering, Spring-boot, Backend, Kubernetes, Apache Kafka, Restful APIs
- **Published:** August 28, 2026
- **Apply:** https://www.kansasworks.com/jobs/13651424

## About the Role

5+ years of software engineering experience with strong Java and Spring/Spring Boot skills.

 - Experience building and maintaining backend services and REST APIs in production.

 - Comfort designing and reasoning about complex conditional/business logic.

 - Working knowledge of event-driven integration and Kafka producer/consumer patterns.

 - Experience operating on cloud infrastructure (Azure or equivalent) with containers/Kubernetes and CI/CD.

 - Strong testing discipline and attention to correctness.

 - Clear communicator across engineering, product, and compliance.

Preferred Qualifications

 - Hands-on experience with the Drools rules engine or another b

## Description

The Senior Full Stack Engineer on Team Caliber builds and maintains the NBA platform's business rules engine - the system that determines member eligibility, suppression, frequency, and consent before any action is taken. Team Caliber is built in Java with the Drools rules engine and integrates with the rest of the platform through APIs and a Kafka event backbone. This is a hands-on backend-leaning full stack role for an engineer who writes clean, well-tested Java, reasons carefully about complex conditional logic, and cares about getting correctness right in a system where rules carry compliance weight., Rules engine development - Design, build, and maintain business rules in Java and Drools that govern eligibility, suppression, frequency capping, and consent.

 - Backend services - Build and own the Java/Spring services and REST APIs that expose the rules engine to the rest of the platform.

 - Event integration - Produce and consume Kafka events to connect the rules engine to upstream signals and downstream decisioning and activation.

 - Correctness and testing - Write thorough tests for rule logic and services; treat rule correctness as a first-class, auditable concern.

 - Performance - Keep rule evaluation fast and predictable as the ruleset and traffic grow.

 - Quality - Run and participate in code reviews, uphold engineering standards, and ship production-ready code in a PHI-handling environment.

 - Collaboration - Partner with Product and compliance to turn business and regulatory requirements into clear, maintainable rules.


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