Overview of 66degrees
66degrees is a leading consulting and professional services company specializing in developing AI-focused, data-led solutions leveraging the latest advancements in cloud
technology. With our unmatched engineering capabilities and vast industry experience,we help the world's leading brands transform their business challenges into
opportunities and shape the future of work.
At 66degrees, we believe in embracing the challenge and winning together. These values not only guide us in achieving our goals as a company but also for our people.
We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the
way.
Overview of Role
We are looking for a skilled Senior Python Middleware Developer to joinour team and contribute to building scalable, high-performance middleware components that connect front-end systems with backend services, AI models, and databases. The ideal candidate will have strong experience in API orchestration, microservices architecture, and seamless integration of third-party tools and services.
Key Responsibilities:
Design and develop middleware services to bridge frontend, backend,AI/ML models, and data sources. Build and manage scalable microservices using Python frameworks such as FastAPI, Flask, or Django.Develop APIs and data orchestration layers that efficiently process, transform, and route requests. Integrate AI agents, model inference endpoints, and third-party APIs into middleware pipelines. Ensure high system reliability, low latency, and performance optimization for middleware services. Handle inter-service communication via REST, gRPC, WebSockets, ormessage queues (e.g., Kafka).Collaborate with DevOps for CI/CD, logging, monitoring, and containerized deployment (Docker/Kubernetes).Write clear documentation and maintain coding standards for reusability and scalability.
Technical Skills:
Strong Python programming skills with focus on clean and efficient middleware design.
Proficient in FastAPI, Flask, or Django for API development.
Experience in handling middleware concerns such as logging, error handling, request validation, and security.
Deep understanding of RESTful architecture and API gateway design.
Experience with authentication mechanisms like OAuth2, JWT, API Keys.
Knowledge of asynchronous programming using asyncio, aiohttp,or similar.
Familiarity with message brokers (Kafka, RabbitMQ) and event-
driven architectures.
Hands-on with Docker, basic Kubernetes knowledge is a plus.
Experience with cloud services (AWS/GCP/Azure) and deployment of
middleware in scalable environments.
Understanding of AI/ML model serving and integration pipelines is a
strong advantage.
Nice to Have:
Experience integrating LLM-based AI agents, LangChain, or vector
database.
Exposure to observability tools like Prometheus, Grafana, or ELK
stack.
Previous work with enterprise integration platforms or workflow
engines (e.g., Airflow, Temporal).
Soft Skills:
Problem-solving mindset and ability to work independently. Strong collaboration and communication skills across cross-functional
teams. Agile and delivery-focused; comfortable working in fast-paced product
