Lead Backend(Software Development)

We are seeking an experienced Backend Engineer to architect and develop a high-performance web server for a scalable data solution. You will own the API logic, database design, and production server configuration, ensuring robust async processing while integrating logic from our Data Science team.

The Tech Stack

• Core: Python 3.x, FastAPI
• Server/Deployment: Nginx, Gunicorn, Docker, CI/CD
• Async/Queues: Celery, Redis (Broker & Backend)
• Database: PostgreSQL, Alembic

Key Responsibilities

• API Architecture: Design and build robust RESTful APIs using FastAPI to serve complex business logic.
• Task Queue Management: Implement and manage workflows using Celery, utilizing Redis as the message broker and result backend.
• Database Management: Design efficient relational database schemas in PostgreSQL and manage migrations with Alembic.
• DS Collaboration: Integrate algorithmic logic and data models provided by Data Scientists into the production application.
• System Stability: Monitor queue depths, worker health, and API latency to ensure reliability.

Requirements

• Experience: 5 to 7 years of professional backend engineering experience.
• Python Proficiency: Deep knowledge of Python 3, FastAPI, SQLmodel and Pydantic.
• Redis & Celery: Proven experience configuring Redis for managed task queues (handling visibility timeouts, retries, and failures) in addition to caching.
• Server Ops: Hands-on experience configuring Nginx and Gunicorn.
• Database: Strong SQL skills and experience managing schema lifecycles.
• ML Familiarity: Comfortable working with Python data libraries (Pandas, NumPy) to bridge the gap between DS prototypes and production code.
• DevOps: Solid experience with Docker containerization and CI/CD pipelines.

Nice to Have

• Experience with rule-based systems.
• Knowledge of Kubernetes or container orchestration.
• Cloud platform experience (AWS/GCP/Azure).