Application Developer

• Design and develop scalable backend APIs using Python (FastAPI) with asynchronous processing, Pydantic validation, role-based authorization, and RESTful architecture.
• Build high-performance asynchronous Python services using asyncio, multithreading, Redis, MongoDB, and Server-Sent Events (SSE) for real-time data streaming and concurrent processing.
• Develop distributed ETL pipelines using Apache Beam, Google Cloud Dataflow, BigQuery, Cloud Storage, Pub/Sub, and Cloud Composer (Airflow) for large-scale batch and streaming data processing.
• Implement unit tests, integration tests, and CI/CD automation using PyTest, GitHub Actions, Jenkins, Docker, and Snyk to ensure application quality and secure deployments.
• Optimize Python applications through asynchronous programming, Redis caching, SQL optimization, parallel processing, BigQuery query tuning, and performance profiling.
• Build responsive web applications using React, TypeScript, Tailwind CSS, Zustand, and Recharts to deliver interactive and data-driven user interfaces.
• Integrate frontend applications with backend REST APIs using TypeScript, implementing secure SSO-based authentication and end-to-end type-safe API communication.
• Improve frontend performance through optimized state management, reusable components, code splitting, asset optimization, and efficient rendering techniques.
• Implement client-side validation, error handling, and responsive user interfaces using modern React architecture and TypeScript best practices.
• Design and deploy cloud-native applications on Google Cloud Platform (GKE, Cloud Run, Cloud Storage, Cloud Memorystore, Cloud Spanner, and Secret Manager) using containerized microservices.
• Develop scalable data processing pipelines using Apache Beam, Google Cloud Dataflow, Cloud Composer (Airflow), Pub/Sub, and BigQuery for batch and streaming analytics workloads.
• Build AI-powered applications using Vertex AI (Gemini), Google Agent Development Kit (ADK), and BigQuery, enabling natural language querying, intelligent diagnostics, and multi-agent workflows.
• Implement secure cloud infrastructure using IAM, Secret Manager, Cloud KMS, HashiCorp Vault, service account impersonation, and least-privilege security principles across multi-environment deployments.
• Implement end-to-end monitoring and observability using Cloud Logging, Cloud Monitoring, Airflow monitoring, Dataflow metrics, health checks, and custom dashboards for proactive issue detection and operational insights.

All the responsibilities mentioned above are in line with the professional background and requires an absolute minimum of a Bachelor’s degree in computer science, computer information systems, information technology, or a combination of education and experience equating to the U.S. equivalent of a Bachelor’s degree in one of the aforementioned subjects.