django developer for AI-driven data platforms

The team develops modern data platforms and AI-driven solutions, including scalable data pipelines, cloud-native applications, and GenAI tools that accelerate software development.

• Design and develop scalable web services and background jobs using FastAPI;
• Build and optimize data processing and reporting solutions;
• Develop and maintain robust data pipelines and architectures;
• Deploy and manage applications on modern cloud platforms, primarily Azure;
• Implement CI/CD pipelines and automation processes;
• Apply Infrastructure as Code (IaC) practices for scalable environments;
• Leverage AI-assisted development tools such as Copilot for spec-driven development.

• 5+ Years of production experience with Python;
• Hands-on experience with web frameworks, preferably FastAPI;
• Experience with Pandas, Polars, openpyxl, and DuckDB;
• Understanding of data pipeline design, including data lakes, medallion architecture, and star schema;
• Experience with CI/CD tools such as GitHub Actions;
• Experience with Azure services, including Container Apps, Storage, Service Bus, and SignalR;
• Experience with IaC tools such as Bicep, Terraform, or AWS CDK;
• Familiarity with AI-assisted development tools such as GitHub Copilot;
• Nice to have: experience with Airflow, dbt, Streamlit, distributed systems and async workflows, enterprise messaging patterns, Snowflake, .NET Core, Angular, or Next.js.

• No conditions specified