Senior Software Engineer - NBA

Humana
•$106,900 - $147,000•Hybrid

About The Position

The Senior Software 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.

Requirements

  • Bachelor's degree in computer science or relevant field
  • 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.

Nice To Haves

  • Hands-on experience with the Drools rules engine or another business rules management system (BRMS).
  • Familiarity with front-end work (React/TypeScript) to support rule-authoring or admin interfaces.
  • Experience in healthcare, insurance, or another regulated industry where business rules encode compliance requirements.
  • Familiarity with Helm/Terraform for Kubernetes deployment.

Responsibilities

  • 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.

Benefits

  • medical
  • dental
  • vision
  • 401(k) retirement savings plan
  • time off (including paid time off, company and personal holidays, paid parental and caregiver leave)
  • short-term and long-term disability
  • life insurance
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