Senior Pega BPM Consultant/Developer - PRPC Architecture

Job Summary :

Key Responsibilities :

- Lead and manage the design, development, and deployment of PEGA BPM applications.

- Collaborate with business analysts and stakeholders to gather and analyze business requirements.

- Architect PEGA solutions that align with business goals and technical requirements.

- Develop reusable PEGA components, including rules, flows, data models, integrations, and user interfaces.

- Perform system design, configuration, and testing (unit, integration, UAT).

- Troubleshoot and resolve production issues efficiently.

- Provide technical leadership and mentor junior PEGA developers.

- Conduct PEGA application performance tuning and optimization.

- Implement PEGA best practices, including guardrails compliance and version upgrades.

- Work closely with cross-functional teams to ensure seamless integration of PEGA solutions with other enterprise systems.

- Prepare technical documentation, design specifications, and user manuals.

- Participate in code reviews, sprint planning, and agile ceremonies.

- Stay current with PEGA product updates and industry trends.

Required Skills and Experience :

- Strong knowledge of PEGA PRPC platform, including Case Management, Decision Rules, and Workflows.

- Expertise in PEGA system architecture, UI design (Section, Harness, Portal), and rules configuration.

- Proficient in integration technologies : REST, SOAP, JMS, MQ, and databases.

- Experience with Java, JavaScript, SQL, and XML.

- Experience with agile/scrum methodologies.

- Strong analytical and problem-solving skills.

- Experience with performance tuning and troubleshooting PEGA applications.

- Good understanding of business process modeling and workflow design.

- Excellent communication and interpersonal skills.

- Ability to work independently and as part of a team.

- PEGA Certification (CSA, CSSA, or CLSA) is highly desirable.

Preferred Qualifications :

- Knowledge of DevOps practices for PEGA deployment and CI/CD.

- Experience with PEGA Decisioning and AI/ML integration.

- Exposure to cloud platforms like AWS or Azure is a plus.

Education :