Timings: 5pm IST to 2am IST
Key Responsibilities
- Design, develop, and maintain scalable backend services and APIs using Python and FastAPI.
- Work with Supabase (PostgreSQL) for database design, triggers, and row-level security (RLS).
- Build and manage backend components for automation workflows, user events, and notifications.
- Develop secure integrations with external systems (e.g., Salesforce, Microsoft D365, cloud storage, messaging platforms).
- Implement serverless functions and cron jobs for scheduled or event-based triggers.
- Collaborate with frontend teams to ensure seamless data flow across the stack.
- Write clean, maintainable code with thorough documentation and testing.
- Monitor performance, logs, and errors; implement retries and error handling for resilience.
- Contribute to DevOps pipeline, including deployments, environment management, and CI/CD.
- Knowledge of multithreading and OS / FS manipulations.
- Write secure, well-documented, and deployable code.
- Proficient in Python libraries for data transformations and numerical/text manipulation.
Required Skills & Experience
- 3+ years of backend development experience using Python (with FastAPI or similar frameworks).
- Strong experience with PostgreSQL and modern backend-as-a-service platforms like Supabase or Firebase.
- Deep understanding of RESTful API design and asynchronous programming.
- Hands-on experience with authentication, access control, and multi-tenant architecture.
- Familiarity with cloud services (e.g., AWS Lambda, Vercel Functions, or GCP).
- Experience with event-driven systems, webhooks, or message queues (Kafka, NATS, etc.).
- Comfort working in a Git-based development process with code reviews and pull requests.
- Ability to write unit/integration tests (Jest, Mocha, etc.) and ensure code reliability.
Bonus Skills (Nice to Have)
- Experience with Supabase-specific features like row-level security, triggers, and realtime updates.
- Background in workflow engines, automation design, or low-code platforms.
- Experience working with GraphQL and data transformation pipelines.
- Knowledge of OAuth, token-based auth flows, and multi-system user identity management.
- Familiarity with job schedulers like Apache Airflow, Temporal, or custom cron logic.
- Exposure to AI/NLP-based applications or intelligent assistants.