DevOps Engineer Specialist - Pega Expert

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:

• 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)