Python Microservices Developer

• Design, implement, and optimize generative AI models using frameworks like TensorFlow, PyTorch, or JAX, including architectures like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Large Language Models (LLMs).
• Design and deploy efficient, self-contained microservices using Python 3.x and modern web frameworks (FastAPI, Flask, or Django).
• Build and maintain RESTful APIs and GraphQL endpoints for seamless communication between services and front-end applications.
• Work with both relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases. Implement database-per-service patterns and ensure data consistency.
• Implement message queues and event-driven architecture using Kafka, RabbitMQ, or Celery.
• Containerize microservices using Docker and orchestrate them utilizing Kubernetes.
• Write comprehensive unit and integration tests. Configure logging and monitoring tools (Prometheus, Grafana, ELK stack) to track service health.
• Select appropriate datasets and data representation methods.
• Extend existing machine learning libraries and frameworks.
• Train systems and retrain as necessary.

• Overall 5 years of experience.
• 3 years of professional software engineering experience, with a heavy focus on Python-based microservices architecture.
• 2 years of hands-on experience with asynchronous Python frameworks like FastAPI or aiohttp.
• Strong proficiency in SQL/NoSQL integration, including ORMs like SQLAlchemy.
• Familiarity with cloud environments (AWS, Azure, or GCP) and infrastructure-as-code principles.
• Solid understanding of distributed system design patterns (e.g., CQRS, Event Sourcing, Circuit Breakers).
• Experience with Chat, IVR, Banking will be a plus.
• Google Cloud (GCP) knowledge.

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