Senior Python Middleware Developer @ 66degrees

Design and develop middleware services to bridge front-end systems, backend
services, AI/ML models, and data sources.
Build and manage scalable microservices using Python frameworks such as FastAPI,
Flask, or Django.
Develop APIs and orchestration layers to process, transform, and route data
efficiently.
Integrate AI agents, inference endpoints, and third-party APIs into middleware
pipelines.
Ensure middleware reliability, low latency, and performance optimization.
Manage inter-service communication via REST, gRPC, WebSockets, or messaging
systems like Kafka.
Collaborate with DevOps on CI/CD pipelines, logging, monitoring, and containerized
deployments (Docker/Kubernetes).
Maintain high-quality documentation and coding standards for reusable, scalable
solutions.

Qualifications
5 8 years of experience in Python programming with strong middleware and API
development expertise.
Proficient in FastAPI, Flask, or Django frameworks.
Hands-on experience in middleware concerns: logging, error handling, request
validation, and security.
Strong understanding of RESTful architecture, API gateway design, and
authentication mechanisms (OAuth2, JWT, API Keys).
Experience with asynchronous programming (asyncio, aiohttp) and event-driven
systems (Kafka, RabbitMQ).
Hands-on experience with Docker and working knowledge of Kubernetes.
Exposure to cloud platforms (AWS, GCP, or Azure) for scalable deployments.
Knowledge of AI/ML model serving and integration pipelines (preferred).

Nice to Have
Experience with LLM-based AI agents, LangChain, or vector databases.
Exposure to observability tools such as Prometheus, Grafana, or ELK stack.
Familiarity with enterprise integration platforms or workflow engines (e.g., Airflow,
Temporal).

Soft Skills
Excellent communication and collaboration skills.
Strong problem-solving mindset with the ability to work independently.
Agile and delivery-focused, comfortable working in fast-paced product cycles.