Python backend Engineer & Architect with Agentic AI (NCS/Job/ 1934)

Python backen Engineer with Agentic A- 5 t 8 yrs

Architect - Python backend with Agentic AI - 8 to 12 yrs

Who You Are:

• BTech/BE CS or related discipline with 5+ years of backend experience designing, building large-scale distributed systems
• Hands-on experience developing backend systems using Python, with a deep understanding of software design, performance, and maintainability
• Proven experience with modern Python frameworks such as FastAPI, Django, or Flask, used in production at scale
• Strong expertise in designing and implementing RESTful and GraphQL APIs, with a focus on scalability, versioning, and clean data modeling
• Solid working knowledge of relational/NoSQL databases, including schema design, query optimization, and handling large datasets
• Experience working with Agentic AI systems or integrating LLM-based agents into backend workflows is highly desirable for this role
• Experience building and deploying applications on AWS, leveraging services like EC2, Lambda, RDS, S3, and CloudWatch
• Familiar with microservices architecture, asynchronous programming, and event-driven systems
• Comfortable with Docker, Kubernetes, and setting up CI/CD pipelines for smooth and reliable deployments
• Strong understanding of backend engineering best practices: testing, observability, security, and resilience at scale
• Experience working in cross-functional teams with product, frontend, and DevOps, following agile methodologies

What you'll do:

• Design and build scalable backend systems using Python and modern frameworks like FastAPI, Django, or Flask, optimized for performance and maintainability
• Stay current with emerging backend technologies, and (ideally) explore how Agentic AI and LLM integrations can be leveraged in modern backend services
• Develop and maintain robust RESTful and GraphQL APIs that power internal systems, user-facing apps, and external integrations
• Architect distributed microservices capable of handling large-scale workloads, with a focus on fault tolerance, security, and observability
• Own data modeling and query design for relational/NoSQL databases, ensuring data integrity and query performance
• Work closely with DevOps to define and implement cloud-native infrastructure on AWS, including CI/CD, monitoring, and auto-scaling
• Collaborate cross-functionally with product managers, frontend developers, and other engineers to define features, scope solutions, and deliver high-impact projects
• Implement asynchronous tasks and event-driven workflows using tools like Celery and message queues (e.g., Kafka, SQS)
• Contribute to technical architecture decisions and influence best practices across engineering
• Write clean, well-documented, and testable code, with a strong emphasis on quality and continuous improvement