Work Mode: Remote

Work Time: 1:00 PM – 10:00 PM IST

Contract Duration: 6 months (with possible extension)

We are seeking a Senior Drools Engineer to design, build, and maintain business rules for a

large-scale underwriting and decisioning platform. This role focuses on translating complex credit

and risk policies into high-performance, explainable Drools rules that power real-time decisions.

Key Responsibilities

• Design, develop, and maintain Drools (KIE) rules using DRL, Decision Tables, and Rule

Templates to implement complex underwriting, eligibility, and policy logic

• Optimize rule execution for low latency and high throughput, including management

of rule salience, agenda groups, rule flows, and conflict resolution

• Ensure decisions are deterministic, explainable, and auditable, meeting regulatory

and audit requirements

• Contribute to the overall decisioning and rules architecture, designing rule sets for

reusability, versioning, and controlled rollout

• Participate in design reviews and technical discussions related to rule design and

platform evolution

• Develop unit tests and scenario-based tests to validate rule behavior across multiple

decision paths

• Troubleshoot production issues related to rule execution and support deployments

across development, QA, and production environments

• Act as a subject-matter expert for Drools and business rules best practices, mentoring

junior engineers

• Establish and enforce standards for rule authoring, documentation, testing, and

maintainability

Required Qualifications

7+ years of software engineering experience

4+ years hands-on experience with Drools / KIE

Strong proficiency in Java and Spring / Spring Boot

Experience in building a lightweight orchestration layer using Apache Pekko is a plus

Deep experience with:

DRL, Decision Tables, Rule Templates

Stateless and stateful KIE sessions

Rule performance tuning and debugging

Experience building or supporting policy-driven or decisioning systems

Strong understanding of business rules management systems (BRMS)

Exposure to cloud platforms and CI/CD pipelines

What Success Looks Like

• Business policies are accurately captured as maintainable Drools rules

• Decisions are fast, consistent, and explainable

• Rule changes can be made confidently without impacting platform stability

• The rules layer is reliable, scalable, and regulator-read