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Develop backend features using Spring Boot (Java) for services, middleware running on front-store and pharmacy register at CVS pharmacy
Develop frontend features using Angular, React, HTML, CSS for pharmacist/cashier and customer facing registers
Designed user experience flows for a next-gen AI-powered front-store register, working directly with cashiers and UI/UX designers to understand workflows and reduce friction points
Collaborate with data scientist to develop backend for the AI front store registers using FastAPI (Python)
Designed and implemented a logging system for the new AI registers so that it can precisely logs detections, detection metrics etc. increasing observability and traceability
Architect and build a feedback mesh network between the AI registers with CVS store-network and central server which helped maintain a strong dataset for effective product identification and possible business inputs
Served as one of the primary escalation points for external teams on pharmacy register issues (production and QA), resolving primarily database and backend service incidents
Collaborate with other developers to build end-to-end features serving as both point of contact and developer to ship features, documenting API contracts
Maintained QA and dev register environments to ensure reliable testing infrastructure across development teams
Partnered with business stakeholders to gather requirements and translate UI/UX needs into technical solutions, improving in-store customer experience across pharmacy and front-store registers
Managed QA and production pharmacy register UI and Docker container deployments for CVS at Target stores, including performance monitoring and on-call support
Requirements
Bachelor's degree in Computer Science, Engineering or equivalent in a related field or a foreign equivalent with relevant experience.
Develop backend features using Spring Boot (Java) for services, middleware running on front-store and pharmacy register at CVS pharmacy
Develop frontend features using Angular, React, HTML, CSS for pharmacist/cashier and customer facing registers
Designed user experience flows for a next-gen AI-powered front-store register, working directly with cashiers and UI/UX designers to understand workflows and reduce friction points
Collaborate with data scientist to develop backend for the AI front store registers using FastAPI (Python)
Designed and implemented a logging system for the new AI registers so that it can precisely logs detections, detection metrics etc. increasing observability and traceability
Architect and build a feedback mesh network between the AI registers with CVS store-network and central server which helped maintain a strong dataset for effective product identification and possible business inputs
Served as one of the primary escalation points for external teams on pharmacy register issues (production and QA), resolving primarily database and backend service incidents
Collaborate with other developers to build end-to-end features serving as both point of contact and developer to ship features, documenting API contracts
Maintained QA and dev register environments to ensure reliable testing infrastructure across development teams
Partnered with business stakeholders to gather requirements and translate UI/UX needs into technical solutions, improving in-store customer experience across pharmacy and front-store registers
Managed QA and production pharmacy register UI and Docker container deployments for CVS at Target stores, including performance monitoring and on-call support