Description :

About the job :

Job Summary :

Auriga IT is seeking a highly experienced Lead Engineer - Python with strong expertise in backend architecture, cloud-native development, and AI-driven systems.

In this role, you will architect scalable platforms, integrate AI agents and LLM workflows into production systems, and lead engineering teams to deliver high-performance digital products.

The position requires deep technical proficiency, hands-on cloud experience, and strong leadership capabilities.

Key Responsibilities :

AI & Advanced Engineering :

- Design and integrate AI Agents and LLM-based workflows into production systems.

- Build retrieval pipelines, embeddings, intelligent automation flows, and agent orchestration.

- Work with cloud AI services such as AWS Bedrock, Azure OpenAI, and Google Vertex AI.

- Implement scalable AI-first backend features using modern AI frameworks.

Backend Architecture & Development :

- Lead the architecture and design of enterprise-scale backend systems.

- Build high-quality, reusable, and performance-optimized APIs using Django DRF / FastAPI / Flask.

- Architect microservices, asynchronous task queues, caching layers, and distributed systems.

- Define coding standards, design patterns, and best practices.

Problem Solving & Optimization :

- Solve complex backend and system design challenges with strong algorithmic thinking.

- Perform performance tuning, profiling, monitoring, and stability hardening.

- Implement observability, fault tolerance, and reliability patterns across services.

Collaboration & Leadership :

- Mentor junior and mid-level engineers; conduct reviews and guide technical decisions.

- Collaborate with Product, Frontend, QA, DevOps, and business stakeholders.

- Contribute to sprint planning, estimation, roadmaps, and client technical discussions.

- Ensure delivery of well-planned, scalable, production-ready features.

Quality & Delivery :

- Write clean, test-driven, maintainable code with unit and integration tests.

- Drive CI/CD pipelines, automated deployments, and release cycles.

- Maintain detailed documentation for system architecture, APIs, and workflows.

- Use Swagger / OpenAPI for API design and documentation.

Required Qualifications :

- 8+ years of industry experience building backend systems and APIs in Python.

- Strong expertise with Django/DRF, FastAPI, or Flask.

- Mandatory : Hands-on experience with at least one major cloud provider

- AWS / Azure / GCP (Compute, Storage, Networking, CI/CD, Serverless)

- Experience working with or integrating AI Agents / LLM-powered features using : LlamaIndex, LangGraph, Google ADK, or similar frameworks.

- Strong knowledge of system design, distributed systems, concurrency, and async programming.

- Deep experience with relational databases (PostgreSQL / MySQL) and familiarity with NoSQL (Redis/MongoDB).

- Proven experience architecting microservices, event-driven systems, and scalable backend workflows.

- Solid foundation in OOP, DSA, algorithms, and clean coding principles.

- Expertise with Linux/Unix, shell scripting, Git, and API testing tools like Postman.

- Ability to convert complex requirements into scalable, secure backend solutions.

- Excellent communication skills and ability to lead technical discussions across teams.

Nice to Have :

- Experience with Celery, RabbitMQ, Kafka, or event-driven architectures.

- Hands-on experience with vector databases, embeddings, and LLM agent frameworks.

- Familiarity with frontend frameworks (React / Angular) for cross-team collaboration.

- Experience with Docker, Kubernetes, and Infrastructure-as-Code (Terraform/CloudFormation).

- Skills in performance debugging, memory/CPU profiling, and optimization.

- Exposure to CI/CD tools : GitHub Actions, GitLab CI, Jenkins.

- Knowledge of cloud-native services (e.g., S3, Lambda, API Gateway, Cloud Functions, Azure Functions)