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Java Drools Rule Engine Jobs in Maryland (NOW HIRING)

Tech Tammina

JAVA Developer

Baltimore, MD

$50.75 - $65.50/hr

Java Developer Tech Tammina LLC Basic Qualifications: Minimum knowledge, skills, abilities ... JBPM, Drools rules engine, and SVN Version Control 5 years of experience working on Struts ...

TecTammina

JAVA Developer

Baltimore, MD

$50.75 - $65.50/hr

... Java Developer in a Java/J2EE development environment including EJB3 5 years of experience in ... JBPM, Drools rules engine, and SVN Version Control 5 years of experience working on Struts ...

Peraton

Mid Java Developer

Columbia, MD

$80K - $128K/yr

Knowledge of Drools - a Java-based Business Rule Management System (BRMS). * Knowledge of Jakarata Persistence API (JPA), Object/Relational Mapping (ORM), Spring JPA, Hibernate. * Previous work in a ...

Peraton

Mid Java Developer

Columbia, MD

$80K - $128K/yr

Knowledge of Drools - a Java-based Business Rule Management System (BRMS). * Knowledge of Jakarata Persistence API (JPA), Object/Relational Mapping (ORM), Spring JPA, Hibernate. * Previous work in a ...

Peraton

Mid Java Developer

Columbia, MD · On-site

$80K - $128K/yr

Knowledge of Drools - a Java-based Business Rule Management System (BRMS). * Knowledge of Jakarata Persistence API (JPA), Object/Relational Mapping (ORM), Spring JPA, Hibernate. * Previous work in a ...

Synergy ECP LLC

Software Engineer 1

Columbia, MD

... U) Rules Engine: JBoss Drools (U) Apache Camel (U) Spring Framework: used extensively to ... Java programming language. Perl programing language. Java EE. Secure web (SSL) and file encryption.

SW Complete

Software Engineer 1

Columbia, MD · On-site

... U) Rules Engine: JBoss Drools (U) Apache Camel (U) Spring Framework: used extensively to ... Java programming language. Perl programing language. Java EE. Secure web (SSL) and file encryption.

Synergy ECP

Software Engineer 3

Columbia, MD · On-site

$56.50 - $76/hr

Redis, Graph Compute engine/Query Interface apache Tinkerpop/Gremlin, Rules Engine: JBoss Drools ... Java programming language. Perl programing language. Java EE. Secure web (SSL) and file encryption.

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Java Drools Rule Engine information

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.
What are popular job titles related to Java Drools Rule Engine jobs in Maryland? For Java Drools Rule Engine jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Java Drools Rule Engine jobs in Maryland look for? The top searched job categories for Java Drools Rule Engine jobs in Maryland are:
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Java Drools Rule Engine jobs near you
VP/D Enterprise Decision Engineering

VP/D Enterprise Decision Engineering

OneMain Financial

Baltimore, MD • On-site

Full-time

Posted 5 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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