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Popular mid-level fullstack role with broad skillset and metro context, raising candidate competition.
Core fullstack, cloud and frontend skills are broadly transferable across industries.
Many required technologies (Python, FastAPI, AWS, frontend, Kafka) but no explicit years, resulting in moderate filtering.
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Design, build, and maintain backend server-side applications primarily using Python and Fast API with AWS cloud integrations (SQS, Lambda).
Develop and integrate AI features into applications using prompt engineering, GitHub Co-pilot, and related AI-driven tools.
Manage front-end development with React JS and Angular JS, optimize database performance (MongoDB), and support full-cycle development including DevOps practices and Agile methodologies.
Proven expertise in Python programming with frameworks like Django, Flask, or Fast API.
Experience with AWS cloud services (SQS, Lambda), Kafka, and database management (MongoDB, MySQL, Oracle).
Familiarity with front-end technologies including React JS and Angular JS.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in AI-driven software development and prompt engineering, able to integrate AI effectively into products.
Strong background in full-stack development with hands-on operational ownership of backend APIs, cloud services, and front-end frameworks.
Comfortable working within Agile and Scrum environments using DevOps practices, CI/CD pipelines, and project tracking tools like Jira and Git.