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Job Title: Backend Developer (Python + Devops + Docker) – 5+ Years ExperienceJob Summary:We are seeking an experienced Backend Developer with strong Python expertise who can design, build, and maintain robust backend services and APIs. The ideal candidate will have hands-on experience with modern Python frameworks, DevOps practices, containerization (Docker), and exposure to AI/ML or LLM-based projects.Key Responsibilities:- Develop, optimize, and maintain backend services, APIs, and microservices using Python frameworks (e.g., Django, Flask, FastAPI). - Integrate and work with Python libraries relevant to backend, data processing, and AI/ML workflows. - Collaborate with data science and AI/ML teams to implement, deploy, and scale machine learning or LLM-driven features. - Build and maintain CI/CD pipelines and apply DevOps best practices for smooth deployment and environment management. - Containerize services using Docker and manage deployment environments. - Write clean, efficient, and well-documented code following best practices. - Troubleshoot system issues, optimize performance, and ensure backend reliability and scalability. - Work closely with cross-functional teams including frontend, product, and cloud/infra teams to deliver end-to-end solutions.Required Skills & Experience:- 5+ years of experience as a Backend Developer with strong proficiency in Python. - Hands-on experience with Python frameworks such as Django, Flask, or FastAPI. - Strong knowledge of Python libraries for backend, automation, or AI/ML integration. - Experience working on AI/ML or LLM-based projects (model integration, APIs, scaling, or inference pipelines). - Solid understanding of DevOps tools and CI/CD practices. - Experience with Docker for containerization and environment management. - Strong grounding in RESTful API design, microservices architecture, and distributed systems. - Familiarity with cloud platforms (AWS, GCP, Azure) is a plus. - Ability to work in an agile environment and deliver high-quality, scalable solutions.Preferred Qualifications:- Experience with model deployment frameworks (TensorFlow Serving, TorchServe, or similar). - Knowledge of Kubernetes or orchestration tools. - Understanding of data engineering workflows or messaging queues (Kafka, RabbitMQ, etc.). - Strong problem-solving skills and ability to work independently or in a team.