Pega Lsa in Melbourne

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

• PegaLSA certified
• Experience inPegainstallation
• Must be CLSA certified on 8.x, preferred Infinity version
• OverallPegaexp should be greater than 10+ yrs.
• Knowledge onPegainstallation (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 allPegabest practices and guardrails.
• Must have good analytical and communication skills.
• Excellent knowledge in SDLC, agile and other implementation methodologies.
• Pegaimplementation 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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