Lead Engineer - Python

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).