Pega Lead Architect - SCE & Healthcare Claims

Cognizant; Norfolk (VA); Sur place; USD 120 000 - 140 000; Plein temps

Avantages offerts par ce poste

Medical, Dental, Vision Insurance

Paid Holidays and PTO

401(k) Plan with Company Contributions

Short-Term and Long-Term Disability

Parental Leave

Employee Stock Purchase Plan

Résumé du poste

Cognizant is seeking a hands-on Pega Development Lead to drive design, architecture, and delivery of enterprise-grade Pega solutions, with emphasis on the Pega Smart Claims Engine in healthcare. You will lead scalable, secure applications, guide teams through code reviews, and ensure adherence to architectural standards.

This role requires strong experience in healthcare claims processing, REST/microservices integration, and event-driven architectures using Kafka.

Qualifications

• Pega Lead System Architect (LSA) with hands-on leadership across large Pega implementations.
• Hands-on Pega SCE experience for healthcare claims processing.
• Experience building secure, scalable Pega apps with integration via REST/microservices.
• Proficiency with event-driven architectures and Kafka integrations.

Responsabilités

• Lead design, architecture, and delivery of enterprise Pega solutions.
• Develop claims solutions using Pega SCE model for healthcare processing.
• Architect scalable Pega class structures, case types, and UI models.
• Lead integrations with enterprise platforms, APIs, and data sources.

Connaissances

Pega LSA

Technical leadership

Agile/SAFe

Healthcare claims knowledge

Outils

REST APIs

Microservices

Kafka

Confluent Kafka

Description du poste

Cognizant is seeking a hands-on Pega Development Lead to drive design, architecture, and delivery of enterprise-grade Pega solutions, with emphasis on the Pega Smart Claims Engine in healthcare. You will lead scalable, secure applications, guide teams through code reviews, and ensure adherence to architectural standards.

This role requires strong experience in healthcare claims processing, REST/microservices integration, and event-driven architectures using Kafka.