Job Title: DevOps Engineer Specialist - Pega Expert
We are seeking an exceptional DevOps Engineer Specialist with a strong background in Pega platform to join our client's team. As a Lead System Architect (LSA) or Senior System Architect (SSA) PEGA certified professional, you will play a critical role in designing, developing, and deploying scalable and efficient solutions using Pega technology.
About the Role:
Collaborate with business and IT stakeholders to understand requirements and deliver high-quality solutions
Lead the design and development of Pega-based applications, ensuring adherence to best practices, guardrails compliance, reusability, and modular design
Utilize your expertise in case management, decisioning, integrations (REST/SOAP), UI/UX, event-driven architecture, API Gateway, and Kafka (or other real-time data streaming platforms) to deliver innovative solutions
Work with Pega Predictive Diagnostic Cloud (PDC) and Pega Deployment Manager (PDM) to ensure optimal performance and deployment of applications
Implement DevOps tools (CI/CD, quality, and security checks) to streamline development and deployment processes
Communicate complex technical information effectively to various stakeholders, both verbally and in writing
Requirements
Requirements:
Minimum 5 years of experience working with Pega platform
Lead System Architect (LSA) or Senior System Architect (SSA) PEGA certified
Hands-on experience with Pega versions (from 8.8)
Experience with case management, decisioning, integrations (REST/SOAP), UI/UX, event-driven architecture, API Gateway, and Kafka (or other real-time data streaming platforms)
Knowledge of Pega Best Practices: guardrails compliance, reusability, modular design, performance tuning
Ability to work with business and IT stakeholders to achieve target outcomes
Excellent communication and problem-solving skills
Nice to Have:
Experience with Pega CLM KYC module
Familiarity with other real-time data streaming platforms (e.g., Apache Kafka, Amazon Kinesis)
Knowledge of cloud-based technologies (e.g., AWS, Azure, Google Cloud)
