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).
