Python Developer

**Job Title:** Python Backend Developer **Experience Level:** Mid-Level (3-5 Years) **Location:** \[Remote / On-site / Hybrid\] **Role Overview** We are seeking an experienced Python Backend Developer to design, build, and maintain scalable server-side applications and microservices. You will collaborate with cross-functional teams to integrate user-facing elements, optimize database architectures, and ensure high performance and responsiveness across all platforms. **Key Responsibilities** • Design, write, and deploy highly scalable, testable, and efficient Python code. • Develop robust RESTful APIs and integrate them with gRPC or microservices architectures. • Architect and optimize database schemas (SQL and NoSQL) to ensure fast data retrieval and secure storage. • Implement event-driven asynchronous workflows using messaging queues (e.g., Kafka, Celery, RabbitMQ). • Debug production issues, identify bottlenecks, and improve overall system reliability and latency. • Maintain comprehensive technical documentation (e.g., Swagger/OpenAPI) for APIs and service flows. • Implement robust security measures, including fine-grained Role-Based Access Control (RBAC) and data compliance standards. • Collaborate closely with frontend developers, DevOps engineers, and product managers to deliver end-to-end features. **Required Qualifications** • **Experience:** 3+ years of professional backend development experience using [Python](https://arc.dev/job-descriptions/python-developer). • **Frameworks:** Deep proficiency in modern Python frameworks such as FastAPI, Flask, or Django. • **Databases:** Strong practical experience with relational databases (PostgreSQL, MySQL) and ORM libraries (SQLAlchemy). • **Version Control & CI/CD:** Proficiency in Git, GitHub/GitLab, and continuous integration pipelines. • **Problem Solving:** Proven ability to independently triage and resolve high-impact production incidents. **Preferred Qualifications** • Experience building and orchestrating containerized applications using Docker and Kubernetes. • Familiarity with cloud platforms such as AWS, Google Cloud, or Azure. • Knowledge of in-memory data stores like Redis and columnar databases like ClickHouse. • Understanding of basic frontend technologies (HTML, CSS, JavaScript) to facilitate seamless integration