Employer description & source details
Extensive experience in solution and cloud architecture, with expert-level knowledge of Google Cloud Platform (GCP). Strong hands-on knowledge of GCP services, including Cloud Run, Cloud SQL, BigQuery, Pub/Sub, and API Gateway. Strong Python programming and backend solution design capabilities. Strong expertise in data modeling, including entity relationships, data structures, business rules, and calculation-engine design. Strong understanding of enterprise integration patterns, API architecture, and bi-directional data integration. Experience designing REST and GraphQL APIs, including interface contracts, error handling, security, and performance considerations. Experience with frontend architecture using React, AG Grid, or similar grid-based application frameworks. Strong understanding of RBAC, Azure Active Directory, SSO, and enterprise identity and access management integration patterns. Experience designing scalable, maintainable, and secure cloud-native applications and distributed systems. Proven ability to establish CI/CD pipelines, engineering standards, and structured code review practices. Experience reviewing and validating AI- or Copilot-generated code within a specification-driven development approach. Ability to troubleshoot complex integration issues and lead defect resolution during SIT and other testing phases. Strong technical leadership, architectural decision-making, problem-solving, and cross-functional collaboration skills. Experience migrating legacy Excel, VBA, or Power Apps solutions to cloud-native platforms is an advantage. Exposure to BTDP integration, BigQuery reporting architecture, and GitHub Copilot development practices is desirable. Define and lead the target technical architecture for replacing the legacy Excel and Power Apps stack wi
Extracted skills: react, python, sql, azure, gcp, excel, security