Associate Principal Engineer (Cloud Architecture)

Requirements Experience : 9 + years 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. Responsibilities Define and lead the target technical architecture for replacing the legacy Excel and Power Apps stack with a scalable, cloud-native solution on Google Cloud Platform (GCP). Design cloud architecture using GCP services, including Cloud Run, Cloud SQL, BigQuery, Pub/Sub, and API Gateway. Establish the overall solution architecture, technical standards, design principles, and implementation roadmap aligned with business and functional requirements. Design and implement robust data models, including entities, relationships, calculation hierarchies, and business logic, to replace scattered Excel-based data structures. Define integration patterns and API architecture to enable seamless communication between frontend applications, backend services, and enterprise systems. Drive frontend architecture decisions for grid-first applications using React, AG Grid, or similar frameworks. Design and oversee bi-directional BTDP integration, ensuring reliable data exchange and consistency across systems. Define secure authentication and authorization mechanisms, including role-based access control (RBAC), Azure Active Directory, and single sign-on (SSO) integration. Lead backend architecture and development practices using Python, ensuring scalability, maintainability, performance, and reliability. Establish API design standards using REST and GraphQL, along with appropriate error handling, validation, and security controls. Review AI- and Copilot-generated code to ensure correctness, maintainability, security, and compliance with specifications and architectural standards. Define and enforce spec-driven development practices, code review guidelines, CI/CD pipeline design, and engineering quality standards. Lead the identification and resolution of integration defects during System Integration Testing (SIT). Collaborate with engineering teams, business stakeholders, and other architects to translate requirements into effective technical solutions. Ensure architecture decisions support future scalability, reporting requirements, operational efficiency, and cloud-native best practices. Bachelor’s or master’s degree in computer science, Information Technology, or a related field.