• Designs, develops, and maintains RESTful APIs connecting mobile and web applications to backend services. • Develops, refines, and maintains the irrigation scheduling engine, optimizing logic for water efficiency, environmental conditions, and user preferences. • Builds and manages database schemas, queries, and data models to support device telemetry, scheduling, user data, and analytics. • Integrates with AWS IoT Core to handle secure device connectivity, telemetry ingestion, command processing, and synchronization with the cloud. • Implements core business logic and automation for irrigation, notifications, and AI-driven recommendations. • Collaborates closely with the Machine Learning Engineer to integrate predictive models and automate decision-making based on environmental or device data. • Designs and maintains telemetry ingestion pipelines to process high-frequency data from connected devices. • Ensures backend systems meet performance, reliability, and scalability requirements through monitoring, testing, and proactive optimization. • Implements security best practices, data protection policies, and access controls across backend systems. • Writes unit and integration tests for backend services and collaborates with the QA/Automation Engineer to ensure coverage, CI/CD integration, and deployment quality. • Documents backend architecture, APIs, and data flows to support internal development and cross-team alignment.