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Common fullstack title, mid-level scope, metro location, and broad tech requirements increase competition.
Core fullstack skills (Python, React, AWS, databases) are broadly transferable across industries.
Multiple mandatory tech stacks (Python, React, AWS, Kafka, prompt engineering) cause strict technical filtering.
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Develop and maintain backend services using Python frameworks such as Django, Flask, and FastAPI, focusing on AI-driven applications.
Integrate and manage AWS cloud services (e.g., SQS, Lambda), Kafka messaging, and database systems (MongoDB, MySQL, Oracle).
Participate in application performance tuning, troubleshooting, bug fixes, and apply DevOps practices including CI/CD in Agile environments.
Proven experience with Python backend development including Django, Flask, or FastAPI.
Hands-on experience with AWS cloud services like SQS and Lambda, and message brokers such as Kafka.
Experience with front-end technologies such as React JS or Angular JS and backend databases (MongoDB, MySQL, Oracle).
Work Experience Required: Not explicitly mentioned in the JD.
Skilled in AI-driven development leveraging tools like GitHub Copilot or Cursor, and knowledgeable in prompt engineering for AI applications.
Experienced in full-stack development with a strong foundation in web development processes, OOP, design patterns, and deployment.
Comfortable working in Agile/Scrum teams and using DevOps, CI/CD pipelines, and project tracking tools such as Jira and Git.