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. When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the Tech Aalto Privacy Policy, a copy of which is published at Tech Aalto’s website ( https://www.techaalto.com/privacy/) Confidentiality is assured, and only shortlisted candidates will be notified for interviews.
