Full Stack Python Engineering
"Architecting high-throughput, asynchronous data pipelines for enterprise-scale ingestion."
Commitment Period
3 Months
Work Protocol
Hybrid
Geo Location
Bangalore, India
Architectural Roadmap
A production-grade Real-time Data Ingestion API. This system will utilize FastAPI for high-concurrency request handling, Pydantic for strict data validation, and Redis for asynchronous task queuing. The final deliverable includes a fully containerized service with automated CI/CD pipelines, comprehensive OpenAPI documentation, and integration with AWS Lambda for serverless post-processing.
Mastering AsyncIO and event loops for non-blocking I/O operations.
Implementing Domain-Driven Design (DDD) patterns in Python backend services.
Advanced unit and integration testing strategies using Pytest and Testcontainers.
Deploying and monitoring microservices on AWS/Azure using infrastructure-as-code.
Personnel Eligibility
Final year Computer Science students or recent graduates with a strong foundation in data structures, algorithms, and concurrent programming. Prior experience with Python and RESTful principles is required. Familiarity with Docker and Linux environments is highly preferred.
Compensation Matrix
Industrial Standard
Industrial Standard
Personnel Guide

Raghavendra N
Founder & CEO
"Raghavendra N is the visionary architect behind CodeOrigin.ai, specializing in the intersection of Generative AI and enterprise-scale infrastructure. With over 15 years of experience leading digital transformation initiatives for global enterprises, he has a proven track record of deploying robust LLM frameworks and high-concurrency distributed systems. His expertise spans the full lifecycle of AI integration—from strategic feasibility studies to production-grade RAG (Retrieval-Augmented Generation) architectures using AWS and Azure. Under his leadership, CodeOrigin.ai delivers high-performance, secure, and scalable technology solutions that drive measurable ROI through intelligent data orchestration and cloud-native engineering."
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Professional Track
Elite mentorship and production-grade system development orchestrated in every technical node.