🔹 Key Responsibilities
Design, develop, and maintain scalable backend services using Python & FastAPI
Build and optimize RESTful APIs and real-time features using WebSockets
Work with MongoDB for efficient data storage and retrieval
Deploy and manage applications on AWS (EC2, S3, ECS, Lambda, etc.)
Containerize applications using Docker and support CI/CD pipelines
Integrate and work with Studio APIs (Agents, Knowledge Bases)
Collaborate closely with frontend, product, and AI teams
Ensure performance, security, and scalability of applications
🔹 Required Skills & Qualifications
✅ 3–4 years of hands-on experience in backend development
✅ Strong proficiency in Python
✅ Experience building APIs with FastAPI
✅ Solid working knowledge of MongoDB
✅ Experience with AWS cloud services
✅ Hands-on experience with Docker
✅ Experience implementing WebSockets or real-time systems
✅ Familiarity with Studio APIs (Agents, Knowledge Bases)
✅ Good understanding of system design and scalable architectures
🔹 Good to Have
Experience with microservices architecture
Knowledge of authentication, authorization, and API security
Exposure to AI/ML product integration
Familiarity with CI/CD pipelines and monitoring tools
Skills Required
- 3-4 years of hands-on backend development experience
- Strong proficiency in Python
- Experience building APIs with FastAPI
- Solid working knowledge of MongoDB
- Experience with AWS cloud services
- Hands-on experience with Docker
- Experience implementing WebSockets or real-time systems
- Familiarity with Studio APIs, including Agents and Knowledge Bases
- Good understanding of system design and scalable architectures
- Experience with microservices architecture
- Knowledge of authentication, authorization, and API security
- Exposure to AI/ML product integration
- Familiarity with CI/CD pipelines and monitoring tools
What We Do
Ziventra AI Ventures is an India-based, AI-first IT consulting and staff-augmentation company serving global enterprises. It supplies remote technology talent—including developers, engineers, architects, and consultants—through contract staffing, contract-to-hire, and dedicated teams. The company also provides AI consulting and automation, including AI agents, workflow automation, retrieval-augmented generation (RAG), and large language model integration. Its broader services include cloud, DevOps, data engineering, and enterprise-platform consulting.
