Senior Python Developer with 5+ yrs Exp

We are seeking a Senior Python Developer to join our team building cutting-edge backend systems for real-time AI-powered applications. You will work with modern technologies in a cloud-native environment (Google Cloud Platform), develop high-performance APIs, and manage complex databases with an emphasis on scalability, security, and performance.

This role requires a strong foundation in backend development, API frameworks, relational and graph databases, and real-time streaming applications. If youre passionate about building enterprise-grade, secure, and high-performance systems, we want to hear from you.

Key Responsibilities:

Backend Development: Design, develop, and maintain high-performance Python backend services using FastAPI.

API Design: Implement and optimize RESTful APIs with async/await support for real-time interactions.

Database Management: Work with relational (PostgreSQL) and graph (Neo4j) databases, ensuring data integrity and scalability.

Cloud-Native Architecture: Leverage Google Cloud Platform (GCP) managed services, such as Cloud SQL and Neo4j Aura, for backend infrastructure.

Real-Time Performance: Implement and optimize systems for real-time AI conversation streaming and message processing.

Microservices: Develop microservices-based architecture to allow for modular and independent scaling of backend components.

Security: Implement best practices for secure, private networking and ensure enterprise-grade security measures across all systems.

Collaboration: Work with cross-functional teams (data scientists, frontend developers, etc.) to integrate AI/ML capabilities and build scalable systems.

Required Skills & Experience:

Core Backend Development:

Python 3.x: Deep knowledge of Python, including asynchronous programming with asyncio, and experience with high-performance web frameworks.

FastAPI: Experience building APIs with FastAPI, including handling real-time requests, async operations, and automatic OpenAPI documentation.

API Design & Development: Strong background in RESTful API design with real-time streaming support (WebSockets, HTTP2, or similar).

Database Management:

PostgreSQL: Experience with PostgreSQL on Google Cloud SQL, including handling complex queries, ACID compliance, and performance optimization for real-time applications.

SQLModel: Familiarity with SQLModel as an ORM, including type-safe models, Pydantic integration, and async support.

Alembic: Proficiency in using Alembic for database migrations, ensuring smooth schema changes across environments.

Neo4j: Experience with Neo4j graph database, especially in storing and querying complex user context, preferences, and relationships using Cypher queries.

Cloud & DevOps:

Google Cloud Platform (GCP): Experience deploying backend services on GCP, with specific expertise in Cloud SQL, VPC Peering, and managed services like Neo4j Aura.

Docker: Experience in containerizing Python applications using Docker.

CI/CD: Familiar with Continuous Integration/Continuous Deployment tools and processes.

System Architecture:

Cloud-Native Architecture: Proven experience building cloud-native systems, leveraging managed services for scaling, reliability, and security.

Microservices: Familiarity with developing microservices architecture and ensuring modular scalability.

Security: Knowledge of security best practices for backend systems, including private networking, encryption, and secure API design.

Bonus Skills:

Real-Time Streaming: Familiarity with real-time messaging and streaming systems (e.g., WebSockets, Kafka).

Knowledge Graphs: Experience with knowledge graph technologies for contextual memory and advanced data relationships.

Monitoring & Debugging: Strong experience with modern debugging and monitoring tools for distributed systems (e.g., Prometheus, Grafana, New Relic).

Tools & Practices:

Version Control: Proficiency with Git and experience in collaborative development using GitHub or GitLab.

Testing: Experience with unit testing and integration testing using tools like pytest or unittest.

Agile: Comfortable working in an Agile environment with sprint-based development cycles.