Back End Developer

Job Title: Backend Developer (Python + Devops + Docker) – 5+ Years Experience

Job 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.