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Java Drools Rule Engine Jobs (NOW HIRING)

Sonsoft Inc

Java ODM Developer

Dallas, TX

$50.50 - $65.25/hr

... rule engine or in complex event processing (IBM DSR, IBM DSI, JRules, iLog). Experience in Design and Development of the following - Decision Table, Decision Tree, Action Rule(BRL), Technical Rule ...

Kanak Elite Services Inc

JBPM Developer

Dallas, TX · On-site

$50.50 - $65.25/hr

Experience with Drools, which empowers developers to create sophisticated rule-based systems that ... Last Used JBPM (Process Management) BPMN 2.0 (Process Modeling) Drools (Business Rules Engine) Java ...

PENNYMAC

Application Senior Development

Carrollton, TX · On-site

$92K - $127K/yr

Strong experience in core Java and Web Services. • 5 years' experience in Drools/Red Hat Business Rules Management System or another rules engine. • Experience in web applications and JUnit. • ...

E*Pro, Inc.

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Rule engine experience such as Drools * Caching experience such as Coherence and Gemfire Additional Information All your information will be kept confidential according to EEO guidelines.

HCLTech

Technical Specialist

Morrisville, NC · On-site

... Drools rules (DRL / decision tables as applicable) and supporting Java components to enable ... enhance rule execution services, integrating with upstream consumers via REST APIs and ...

Prophecy Technologies

Java Developer

$52.25 - $67.50/hr

Experience with rules engines (Drools/DMN or custom DSLs) is a strong plus. Key Skills: * Decision ... Deterministic rule evaluation. * Production operations. Ai Tooling: * Expected experience with AI ...

Career Guidant

Java ODM Developer

Mclean, VA

$51.50 - $66.75/hr

Solid knowledge and 3 years expertise in IBM ODM, Java, J2EE (WebSphere Application Server), Web ... At least 5 yrs of experience in development of rule engine or in complex event processing (IBM DSR ...

MM International

Full Stack Java Developer

Iselin, NJ · On-site

$53.25 - $68.75/hr

JAVA ANGULAR KAFKA Financial Experience-BIG BANK Spring Boot Shorter more accurate resumes are ... Rule Management tools like - Drools, DRL, OpenRules, Google Cloud Rules Engine • 5+ years of ...

360 IT Professionals

Java Developer

San Ramon, CA

$57 - $73.75/hr

Exp with Drools or custom drool engine is a plus * Database Oracle, MySQL * Looking for hands-on developer * Banking is a plus but not necessary * Looking for 8 years of java experience Additional ...

Emvia, Inc.

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Big Data technology experience Rule engine experience such as Drools Roles and Responsibilities: Caching experience such as Coherance and Gemfire Responsibilities will include: Participate in ...

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Java Drools Rule Engine information

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How much do java drools rule engine jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for java drools rule engine in the United States is $62.83, according to ZipRecruiter salary data. Most workers in this role earn between $55.05 and $70.19 per hour, depending on experience, location, and employer.

What is the difference between Java Drools Rule Engine vs Java Business Analyst?

AspectJava Drools Rule EngineJava Business Analyst
Primary RoleDesigning and implementing business rules using DroolsAnalyzing business processes and requirements
Required SkillsJava, Drools, rule-based systemsBusiness analysis, Java, communication skills
Work EnvironmentSoftware development teams, IT projectsBusiness units, project management
Industry UsageFinancial, insurance, healthcare IT systemsBusiness process improvement, system implementation

Java Drools Rule Engine developers focus on creating and maintaining rule-based systems using Drools, requiring technical Java skills. Java Business Analysts analyze business needs and translate them into technical requirements, often collaborating with developers. While both roles may work in similar industries, their core responsibilities and skill sets differ significantly.

What are the key skills and qualifications needed to thrive as a Java Drools Rule Engine Developer, and why are they important?

To excel as a Java Drools Rule Engine Developer, you need strong Java programming skills, a solid understanding of business rule management systems (BRMS), and experience with rule authoring and testing. Familiarity with the Drools framework, rule syntax (DRL), integration tools like KIE Workbench, and knowledge of related technologies such as Maven or Spring are typically required. Analytical thinking, attention to detail, and effective communication are crucial soft skills to translate complex business logic into executable rules and collaborate with stakeholders. These competencies ensure accurate implementation of business rules, efficient system performance, and alignment with organizational objectives.

What are some common challenges faced when implementing business rules using the Java Drools Rule Engine, and how can they be addressed?

One common challenge is managing the complexity of large rule sets, which can become difficult to maintain and debug as business logic evolves. To address this, it's important to establish clear documentation and naming conventions, modularize rules into logical groups, and use version control effectively. Collaboration with business analysts is also key to ensuring rules accurately reflect requirements. Additionally, thorough testing—both unit and integration tests—helps catch issues early and ensures rules interact as expected.

What is a Java Drools Rule Engine?

A Java Drools Rule Engine is a business rules management system (BRMS) written in Java that allows developers to define, deploy, execute, and maintain business rules separately from application code. Drools uses a declarative approach, enabling subject matter experts to specify rules in a readable format, which the engine then interprets and enforces at runtime. This separation of rules from logic helps organizations adapt to changing business requirements more efficiently. Drools supports complex event processing, workflows, and decision tables, making it versatile for various business scenarios.
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What cities are hiring for Java Drools Rule Engine jobs? Cities with the most Java Drools Rule Engine job openings:
What states have the most Java Drools Rule Engine jobs? States with the most job openings for Java Drools Rule Engine jobs include:
What job categories do people searching Java Drools Rule Engine jobs look for? The top searched job categories for Java Drools Rule Engine jobs are:
Java Drools Rule Engine jobs near you
Infographic showing various Java Drools Rule Engine job openings in the United States as of June 2026, with employment types broken down into 55% Full Time, 3% Part Time, and 42% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $130,681 per year, or $62.8 per hour.
VP/D Enterprise Decision Engineering

VP/D Enterprise Decision Engineering

OneMain Financial

Baltimore, MD • On-site

Full-time

Posted 4 days ago

OneMain Financial rating

7.6

Company rating: 7.6 out of 10

Based on 96 frontline employees who took The Breakroom Quiz

106th of 138 rated financial services

Job description

As OneMain expands its market verticals, a multi-product strategy is evolving to penetrate markets through compelling customer engagement. Correspondingly, teams deliver products across a variety of platforms and technologies. Our products and platforms span AWS, Azure, IBM iSeries and zSeries, and OpenShift on-prem as part of a hybrid strategy. With both disparate technology delivery and varying regulatory requirements, OneMain's environment is both complex and evolving, supporting a broadening multi-product, multi-market strategy.
We're seeking a senior, hands-on engineering leader to build and scale an Enterprise Decision Engineering organization and lead the transformation of OneMain's credit & pricing decisioning from mainframe to a cloud-native Decision Platform (Drools/Kogito & Decision Intelligence). Build a Decision Solutions CoE and deliver Decisioning-as-a-Service so product teams can safely author, test, and deploy decision logic - faster, with auditability and measurable business impact. This leader will own delivery, quality, and operational excellence for decisioning that powers credit, pricing, and risk strategies across consumer lending.
The person in this role should have proven success leading cross-functional credit/lending programs into production at scale with an in-depth understanding of business-rules engines (ODM, FICO Blaze, Drools/Kogito), Java/cloud engineering. The VP/D Enterprise Decision Engineering will be an integral member of Data Engineering and Operations leadership team, lead a team of 20+ engineers and will be reporting to Head of Credit & Pricing Technology. This role will provide strategic leadership and tactical execution of the Enterprise Decisioning platform management function.
RESPONSIBILITIES:
What you will own
  • Strategy & Transformation: Lead the migration of Credit & Pricing decisioning from iSeries/zSeries mainframes to a modern Decision Platform (Drools/Kogito, Decision Intelligence), including a Next-Gen Offer service platform for pricing. Define roadmap, sequencing, risk mitigation, and business value capture.
  • Drive program execution: sprint planning alignment, roadmap tradeoffs, cross-team orchestration, and stakeholder communications to senior leadership.
  • Delivery & Quality: Own end-to-end execution from requirements to release for decisioning services - ensuring high velocity, near-zero high-severity defects, and strong reliability SLAs.
  • Release governance: Approve production rule releases and pricing changes; enforce go/no-go criteria and rollback plans.
  • Lead architectural reviews and standardization: Drive standardization for data contracts, service APIs and cloud deployment patterns (Kubernetes/OpenShift).
  • Sponsor automation & Gen AI initiatives: Synthetic data pipelines, regression suites and CI/CD for rule deployments & GenAI enablement for rule authoring and test scenario validations.
  • Ensure strong observability: Using OpenTelemetry, Prometheus, Grafana, alerting, SRE practices and on-call readiness for decision services.
  • Define and track engineering KPIs (velocity, deployment frequency, MTTR, defect trends & performance).
  • Drive compliance activities: model governance, validation evidence, audit-ready documentation and legal sign-offs for pricing & credit changes.
  • Business Partnership: Partner with Product, Credit, Pricing, Fraud, Compliance and Legal to align on risk tolerances, policy, regulatory filings, and financial assumptions; represent engineering in executive forums.
  • People & Capability: Recruit, coach and scale engineering teams to transitioning to modern stacks. Create upskilling programs (rule engine, cloud, observability, GenAI for rules).
  • Security & Compliance: Ensure decisioning satisfies data privacy, auditability, explainability, and regulatory requirements (consumer disclosure, state filings).

Key deliverables & Success Criteria
  • Drive program execution: sprint planning alignment, roadmap tradeoffs, cross-team orchestration, and stakeholder communications to senior leadership.
  • Own release governance for decisioning: Approve production releases and pricing changes; enforce go/no-go criteria and rollback plans.
  • A production-grade Decision Platform running core credit and pricing decision logic, with a migration plan and measurable progress against mainframe retirement targets.
  • Next-Gen Offer Service for pricing written on Drools, integrated via REST APIs, with parity tests and performance SLAs.
  • Decision Solutions COE with documented rule lifecycle governance, reusable components (authoring, simulation, testing), and Decisioning-as-a-Service onboarding playbooks.
  • Measurable improvements in engineering KPIs: release frequency, on-time delivery reduced high-priority incidents, and decreased rule deployment time.
  • Production observability, regression suites, automated rollback and incident playbooks implemented across decisioning services.
  • Upskilled mainframe teams transitioned into new roles and capabilities in Drools/Java/cloud delivery.

QUALIFICATIONS:
  • Leadership: 10+ years building and scaling engineering organizations for credit/financial systems; experience managing managers and multi-disciplinary teams.
  • Business Rules & Decisioning: Deep, hands-on experience with rule engines and decision platforms (IBM ODM, FICO Blaze Advisor, Drools/Kogito, BPMN/JBPM), rule lifecycle & governance.
  • Credit & Lending Domain: Strong knowledge of lending products, underwriting logic, scorecards, PD/LGD, vintage analytics, regulatory/disclosure requirements, collections, and pricing strategy.
  • Modern Engineering: Java / J2EE, Spring Boot, REST APIs, Maven; cloud deployments (AWS preferred, Azure acceptable), Kubernetes/OpenShift, Docker.
  • Data & Formats: XML, JSON, integrations to core data stores/feeds, real-time orchestration.
  • Observability & Automation: OpenTelemetry, Prometheus, Grafana, Jenkins or GitHub Actions, CI/CD, regression suites, synthetic data generation and test automation.
  • Tools & Agile: Jira, Confluence, Miro; experience leading Agile at scale and governance for multi-team delivery.
  • BA/BS Degree in computer science or engineering is preferred, MS degree is desirable or equivalent professional experience as a substitute for either degree
  • DBA certifications are preferred.
  • Azure or AWS Cloud Certifications are preferred.

OneMain Holdings, Inc. is an Equal Employment Opportunity (EEO) employer. Qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship status, color, creed, culture, disability, ethnicity, gender, gender identity or expression, genetic information or history, marital status, military status, national origin, nationality, pregnancy, race, religion, sex, sexual orientation, socioeconomic status, transgender or on any other basis protected by law.

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