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Lead Python Developer - Backend Technologies

HireAlpha
Any Location
6 - 8 Years

Posted on: 07/08/2025

Job Description

Lead Python Developer

Experience : 68 Years.

Location : Remote.

Employment Type : C2H.

Job Description :


We are seeking a Lead Python Developer with 68 years of experience designing, developing, and deploying scalable microservices integrated with Large Language Models (LLMs). The ideal candidate will have strong experience in cloud-native architectures, Docker/Kubernetes, and messaging systems like RabbitMQ. You will lead and mentor a team while contributing to high-performance backend services within an agile/scrum setup.

Responsibilities :


- Design and implement Python microservices hosted on Kubernetes or Docker.

- Build asynchronous communication using RabbitMQ.

- Design database schemas and access layers for PostgreSQL and MongoDB.

- Integrate OpenAI APIs and LLM capabilities.

- Ensure code quality with unit, integration, and system tests.

- Track work using Azure Boards or similar tools.


- Manage code using Git (Azure Repos, GitHub).

- Configure and maintain CI/CD pipelines using Azure Pipelines.


- Participate in Agile ceremonies (scrum, sprint planning, retrospectives).

- Mentor junior developers and ensure best practices.

Requirements :


- Education : Bachelors or master's in computer science, IT, or related.

- Strong Python 3.x programming skills.

- Good knowledge of OOP, design patterns, and UML modeling.

Hands-on experience with :

- SQL Alchemy, Alembic.

- Docker and Kubernetes (AKS/self-hosted).

- RabbitMQ.

- PostgreSQL and MongoDB.

- REST API design and LLM integration via OpenAI APIs.

- Familiarity with Git, Azure Pipelines, Azure Boards.

- Prompt engineering knowledge (e.g., using Cursor, Co-Pilot).

- Agile/Scrum experience with story point estimation and delivery.

- Excellent communication and debugging skills.

- Exposure to observability tools is a plus.

Preferred Qualifications :


- Certifications in Kubernetes, Azure, or Python.

- Knowledge of container security practices.

- Experience with AI/ML model deployment.


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