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Popular mid-level backend role with broad, non-niche skill requirements increases applicant competition.
Core backend and cloud skills transfer well, but AI/prompt engineering adds moderate domain specificity.
Many mandatory technical stacks (Python, FastAPI, AWS, Kafka, prompt engineering, CI/CD) imply high filtering.
Develop and maintain Python backend services using frameworks like Django, Flask, and FastAPI with RESTful APIs.
Implement AI-driven development features including prompt engineering and leveraging tools such as GitHub Co-pilot.
Manage AWS cloud services integrations (e.g., SQS, Lambda) and message streaming via Kafka, ensuring system performance and reliability.
Expert proficiency in Python programming and backend frameworks (Django, Flask, FastAPI).
Experience with AWS cloud services (SQS, Lambda) and Kafka.
Familiarity with AI development tools and prompt engineering.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in full web development lifecycle including backend integration with front-end frameworks (React JS, Angular JS) and databases like MongoDB.
Comfortable with performance tuning, bug fixing, and application redesign in Python environments.
Knowledgeable in DevOps practices (CI/CD), Agile methodologies, and project tracking tools (Jira, Git).