Senior Drools Developer - Java

Key Responsibilities :

- Design, develop, and maintain Drools-based business rules and decisioning systems.

- Translate complex business and regulatory policies into maintainable and testable Drools rules.

- Build and manage stateless and stateful KIE sessions for high-throughput decision execution.

- Develop and optimize rules using DRL, Decision Tables, and Rule Templates.

- Perform rule performance tuning, debugging, and optimization for low-latency decisioning.

- Collaborate with product, business, and compliance teams to ensure policies are accurately implemented and explainable.

- Integrate the rules engine with Java / Spring Boot microservices.

- Contribute to the design of a lightweight orchestration layer (Apache Pekko experience is a plus).

- Ensure high availability, scalability, and reliability of the rules layer.

- Support deployments through CI/CD pipelines and cloud environments.

- Maintain documentation and ensure systems are audit-ready and Qualifications :

- 7+ years of overall software engineering experience.

- 4+ years of hands-on experience with Drools / KIE.

- Strong proficiency in Java and Spring / Spring Boot.

- Deep experience with :

a. DRL, Decision Tables, Rule Templates

b. Stateless and Stateful KIE Sessions

c. Rule performance tuning and debugging

- Designing and supporting policy-driven / decisioning systems

- Strong understanding of Business Rules Management Systems (BRMS) concepts.

- Experience working with cloud platforms and CI/CD pipelines.

Good to Have :

- Experience building orchestration layers using Apache Pekko (or Akka).

- Prior exposure to financial services, credit cards, or regulated environments.

- Knowledge of explainability, audit trails, and compliance in decisioning systems.

What Success Looks Like :

- Business and regulatory policies are accurately captured as clean, maintainable Drools rules.

- Decisions are fast, consistent, explainable, and reliable.

- Rule changes can be introduced safely and confidently without impacting platform stability.

- The rules engine scales efficiently and remains regulator-ready at all times

(ref:hirist.tech)