Teams at Miratech

Own the end-to-end architecture for a contact-center data platform using Genesys, Verint, Snowflake, Databricks, and Delta Lake. Design Medallion and Kimball models, ingestion and orchestration strategies, data integrity controls, API and file integrations, incremental processing, and high-volume pipelines. Lead migration from legacy CCARS pipelines through parallel validation and decommissioning. Write production-grade SQL and PySpark, optimize performance and cost, and communicate architectural decisions to technical and business stakeholders.

Lead enterprise discovery, requirements gathering, solution design, configuration, testing, and proof-of-concept validation for Genesys Cloud CX AI-powered contact center solutions. Assess platform capabilities, integrations, licensing, costs, risks, and operational requirements. Present evidence-based recommendations to business and technical stakeholders while translating business needs into practical AI solutions involving knowledge management, agent assistance, interaction summarization, and virtual agents.

Designs and improves information architecture for Genesys Cloud AI knowledge retrieval. Responsibilities include assessing knowledge-base quality, analyzing search behavior, designing taxonomies and metadata models, defining content and search optimization standards, establishing governance processes, and evaluating AI-powered retrieval through proofs of concept. Requires 5+ years of experience in information science, taxonomy, metadata, information architecture, or enterprise search, plus eligibility for Government of Canada security clearance.