• Define and evolve system architecture across frontend, backend and data layers. • Lead modernization efforts, including monolith-to-modular or service-oriented transformations. • Design systems capable of handling high data volumes and large-scale usage. • Establish architectural standards, patterns, and documentation practices. • Evaluate and introduce new technologies where strategically appropriate. • Design and optimize systems handling high throughput and large datasets. • Lead database architecture decisions, including normalization, indexing, and performance tuning. • Improve system reliability, observability, and latency across services. • Drive refactoring initiatives that meaningfully improve performance and maintainability. • Architect systems that responsibly integrate AI/ML capabilities. • Collaborate on model evaluation, performance monitoring, and safe production deployment. • Design application layers that abstract model limitations while delivering high-quality user experiences. • Improve CI/CD pipelines, build performance, and deployment processes. • Establish monitoring, alerting, and operational best practices. • Partner with SRE/Platform teams to improve uptime and system resilience. • Partner with Management to translate business goals into technical architecture. • Mentor engineers and guide architectural decision-making across teams. • Contribute to hiring, technical interviewing, and engineering standards. • Balance short-term roadmap commitments with long-term architectural sustainability.