We are a new startup developing a platform that contains 2 aspects:
- a platform for data engineers, which scans and creates a knowledge of the client's data and business and allows the engineers to easily create data models
- apps: applications for that will gain insights based on this knowledge (such as having a LLM to talk about the data with)

We help data-driven teams gain real business value from data and accelerate growth. Build an entity-based, 360-degree representation of your business through data, an AI-powered data modeling semantic engine. Consume trustworthy, rich entity-level metrics in your favorite BI tools, ML models, reverse ETLs, and business-specific apps.

We are building a revolutionizing platform in the data industry, that is going to truly allow the connection of AI with organization's data

Responsibilities:

• Design, develop, and maintain robust and scalable applications using Python (backend) and React (frontend)
• Define software architecture and best practices for high performance and scalability.
• Implement end-to-end features from UI/UX to backend services based on business requirements.
• Implement and manage CI/CD pipelines using Docker and other tools.
• Write clean code and conduct code reviews to maintain high standards.
• Create and maintain automated tests (unit and integration tests) to ensure application reliability.
• Optimize frontend responsiveness, backend processing, and database queries.
• Identify and resolve technical issues in both the front end and back end.
• Work with stakeholders and team members to deliver high-quality software solutions.
• Stay up-to-date with the latest industry trends and technologies.

Stack:

• Backend:

• Python (using FastAPI / pandas / langchain / datafusion / pyarrow)
• Docker / docker compose
• Postgres
• Neo4j

• Frontend: React using Typescript

Requirements:

• Extensive experience in building and maintaining applications using Python.
• Strong knowledge of containerization and managing Docker containers in development and production environments.
• Proficient in using Git for version control, including branching and merging strategies.
• Solid experience in developing user interfaces using React.
• Competence in using TypeScript for building robust and scalable applications.
• Strong understanding of SQL and experience with database management.

Nice to have (advantages):

• Experience with common python data analysis libraries (datafusion, pyarrow, pandas, numpy...)
• Experience with Infrastructure as Code (IaC) using Terraform.
• Knowledge of Helm for managing Kubernetes applications.
• Understanding of container orchestration with Kubernetes.
• Experience with multiple cloud providers.
• Familiarity with AI agents and their applications.
• Knowledge of graph databases, specifically Neo4j.
• Experience with message brokers, particularly RabbitMQ.
• Experience with Cloud/DevOps