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Popular backend role, mid-level experience, Bangalore metro, and broad cloud/AI skillset increase applicant competition.
Core backend microservices skills transfer across industries, though LLM integration adds some AI-specific bias.
Mandatory 5+ years plus specific Python, Kubernetes, RabbitMQ, and DB requirements make filters strict.
Design, develop, and deploy Python microservices hosted on Kubernetes or Docker environments.
Integrate microservices with Large Language Models (LLMs) via OpenAI or similar APIs and maintain asynchronous communication using RabbitMQ or similar messaging systems.
Contribute to database schema design and data access layer implementation using PostgreSQL and MongoDB, while maintaining code quality with testing and peer reviews in an Agile/Scrum setting.
5+ years of hands-on experience in Python software development.
Strong expertise in Python 3.x, OOP, and building scalable microservices, with experience in Docker and Kubernetes (AKS or self-hosted).
Experience with RabbitMQ, PostgreSQL, MongoDB, and integration of LLMs/OpenAI APIs.
Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field; Hybrid role based in Bangalore with 3 days/week onsite requirement.
Experienced in containerized cloud-native architectures and asynchronous messaging systems supporting microservice communication.
Demonstrated ability to work in Agile/Scrum environments, using Azure Boards or similar tools for task tracking and Git-based source control.
Comfortable with prompt engineering and integrating AI/ML capabilities into production services, preferably with some exposure to AI/ML pipelines and security best practices for containerized workloads.