Back
Popular backend title with broad cloud and AI skill requirements increases applicant competition moderately.
Core backend and cloud skills are broadly transferable, but AI/prompt-engineering adds moderate specialization.
Extensive mandatory tech stack (Python, FastAPI, AWS, Kafka, prompt engineering, CI/CD) increases filtering strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and maintain efficient, reusable, and reliable backend code using Python and Fast API.
Develop high-performance APIs integrated with AWS services such as SQS and Lambda.
Enhance applications with AI integration and prompt engineering, while managing database (MongoDB) and performing application performance tuning and troubleshooting.
Expertise in Python programming with experience in Fast API development and web frameworks like Django or Flask.
Experience with AWS cloud services (SQS, Lambda) and Kafka.
Proven knowledge of AI-driven development tools such as GitHub Co-pilot and Cursor, including prompt engineering.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced backend developer with hands-on skills in AI integration and prompt engineering within production environments.
Proficient in full web development lifecycle including design patterns, deployment, and cloud integrations in Agile/Scrum settings.
Familiarity with DevOps practices (CI/CD), frontend frameworks (React JS, Angular JS), and security best practices in application development.