flask developer for data platforms and AI solutions

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

• Have 5+ years of Python experience in production;
• Have hands-on experience with web frameworks, preferably FastAPI;
• Have experience with Pandas, Polars, openpyxl, and DuckDB;
• Understand data pipeline design, including data lakes, medallion architecture, and star schema;
• Have experience with CI/CD tools such as GitHub Actions;
• Have experience with Azure services, including Container Apps, Storage, Service Bus, and SignalR;
• Have experience with IaC tools such as Bicep, Terraform, or AWS CDK;
• Be familiar with AI-assisted development tools such as GitHub Copilot;
• Nice to have: Experience with Airflow, dbt, and Streamlit, distributed systems and async workflows, enterprise messaging patterns, Snowflake stored procedures, streams, tasks, pipes, and time travel, .NET Core for legacy systems support, frontend development with Angular or Next.js.

• No conditions specified