Role: Pega LSA
Role Type: Contract (6 months renewable)
Location Melbourne

Job Discription:

Pega LSA certified
Experience in Pega installation

Must be CLSA certified on 8.x, preferred Infinity version
Overall Pega exp should be greater than 10+ yrs.
Knowledge on Pega installation (Version 24.2)
Must be able to understand and breakdown the user stories into tasks
Should be able to support and guide the team.
Should have hands-on to execute the tasks individually.
Should be able to update the daily report to leadership/ clients
Must be able to prioritize the tasks based on urgency and need.
Should be able to create and own High-Level design (HLD) and Low-Level design (LLD).
Should be able to govern and manage the confluence/SharePoint
Must be able to manage the deliverables and work in the absence of team member
Must be aware of all Pega best practices and guardrails.
Must have good analytical and communication skills.
Excellent knowledge in SDLC, agile and other implementation methodologies.
Pega implementation methodology knowledge.
Must be knowledgeable on ECS, Situational Layer Cake and Case Management
Able to execute the Architectural Design and implementation
Should be able to support CoE activities
Should be able to support estimates for RFP’s / RFI’s.
Able to mentor junior members/ Team leads in the team and help them technically.
Experience in developing and managing Workflows, User Interfaces, Activities, Utility and Decision Rules.
Must have SQL knowledge to execute DDL (preferred), DML and DQL
Experience in various types of rules like Correspondence rules, Integration rules like traditional and DX-APIs, Validation Rules.
Excellent knowledge on using debugging like Clipboard, Tracer, Rules Inspector, performance tools, PDC, and AES.
Must be experienced on PRPC reporting tools.
Must have experience having external integrations.
Must have knowledge on Constellations
Must have knowledge on Agents and Job Schedulers
Must have knowledge on Channels implementation.
Must have knowledge on skin rules implementation.
Must have knowledge on Kafka, Kubernetes and Cloud technologies
Must have knowledge on Blueprint, Gen-AI, Knowledge Buddy integrations.

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