Senior PEGA Developer

Summary

Join MicroHealth as a Senior PEGA Developer to spearhead the implementation of the PEGA Deployment Manager Platform and overall DevOps strategy. This senior-level role demands extensive PEGA development and deployment management expertise within an agile environment. You will provide technical leadership, implement PEGA platform solutions, and leverage DevOps best practices. Responsibilities include analysis, design, development, testing, and debugging of software using the PEGA platform, adhering to established coding standards. You will also design and develop enterprise class structures throughout the PEGA PRPC implementation lifecycle. The position requires a Bachelor's degree, 15+ years of software development experience with a strong PEGA focus, and specific PEGA certifications.

Requirements

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field
• Minimum 15+ years of professional experience in software development with significant PEGA focus
• PEGA Certified System Architect (CSA) or above certification (required)
• PEGA 24.1 readiness certification (required)

Responsibilities

• Perform analysis, design, development, testing, and debugging of computer software using PEGA platform
• Design and code high-quality PEGA deliverables adhering to established standards and design principles
• Follow PEGA coding standards for project use including code reuse from other applications, avoiding customization, design consideration, application naming convention, class structure definition, naming rules, and installation considerations
• Implement enterprise Class Structure design and development throughout full PEGA PRPC implementation cycle

Preferred Qualifications

• PEGA Certified Senior System Architect (CSSA)
• PEGA Certified Lead System Architect (CLSA)
• PEGA Certified DevOps Engineer
• Additional PEGA specialized certifications
• Advanced knowledge of PEGA Decision Management and Customer Decision Hub
• Experience with PEGA Robotics and AI/ML capabilities
• Advanced certifications in AWS, Azure, or Google Cloud Platform
• Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation
• Knowledge of container orchestration beyond Kubernetes (OpenShift, etc.)
• Experience with advanced monitoring tools (Splunk, ELK Stack, Prometheus)