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Mid-level generic backend title, metro location, and mid experience band increase applicant competition.
Core backend microservices skills are transferable, though LLM and Kubernetes experience introduces moderate domain specificity.
Explicit 4–5 years requirement plus many mandatory techs (Kubernetes, RabbitMQ, Postgres, LLM) raises strictness.
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Design, develop, and deploy Python microservices hosted on Kubernetes or Docker environments with asynchronous communication using RabbitMQ or similar.
Integrate Large Language Model capabilities via OpenAI or similar APIs into microservices to enable AI-powered features.
Contribute to database schema design and optimization for PostgreSQL and MongoDB; maintain code quality through automated testing and peer reviews in an Agile environment.
4–5 years of hands-on experience in Python (3.x) software development, including microservices architecture.
Experience with Docker and Kubernetes (AKS or self-hosted) for containerization and orchestration.
Proven experience using RabbitMQ or similar messaging systems for asynchronous communication between microservices.
Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
Demonstrated ability to integrate microservices with Large Language Models or OpenAI APIs, including prompt engineering basics.
Experience working in Agile/Scrum teams using Azure Boards, Git-based source control, and CI/CD practices.
Strong skills in designing scalable Python services with OOP principles and database optimization (PostgreSQL and MongoDB).