Senior Python Full Stack Developer (FastAPI, React.js, GCP)

Role Overview

We are seeking a seasoned Full Stack Developer with proficient experience in Python, FastAPI, React.js, and Google Cloud Platform (GCP). This role involves creating scalable backend APIs, dynamic frontend interfaces, and deploying cloud-native solutions on GCP.

Primary Responsibilities

• Design and implement scalable full-stack applications utilizing Python, FastAPI, and React.js.
• Develop efficient RESTful APIs and backend services using Python and FastAPI.
• Create responsive, reusable UI components employing React.js, JavaScript/TypeScript, HTML, and CSS.
• Build and deploy applications on the Google Cloud Platform.
• Integrate frontend components with backend APIs and databases seamlessly.
• Manage data access and operations with SQL and relational databases.
• Ensure application security through authentication, error handling, and logging.
• Participate actively in code reviews, debugging, performance tuning, and production maintenance.
• Collaborate closely with DevOps, QA, product management, and engineering teams across the development lifecycle.

Required Expertise

• Extensive Python experience including backend development, API creation, data handling, and debugging.
• Proficient in FastAPI for building RESTful APIs, microservices, handling requests/responses, validations, authentication, and exception management.
• Strong frontend development skills in React.js, including Hook usage, state management, reusable components, and responsive UI design.
• Competent in modern JavaScript and/or TypeScript along with HTML and CSS.
• Hands-on GCP experience developing and deploying applications using compute, storage, databases, container orchestration, logging, and monitoring services.
• Comprehensive understanding of REST APIs, JSON, microservices architecture, API integration, and service communication.
• Strong command of SQL and relational databases like PostgreSQL with expertise in querying, data modeling, and optimizing performance.
• Familiarity with Docker, Kubernetes (GKE), CI/CD pipelines, Git version control, and cloud deployment methodologies.
• Solid grasp of scalable application design principles, debugging, troubleshooting, optimization, and secure coding standards.

Preferred Qualifications

• Experience with Kubernetes (GKE) and containerized deployments.
• Knowledge of GCP services such as BigQuery, Google Cloud Storage, Cloud Logging, and Monitoring.
• Experience working within Agile or Scrum development frameworks.
• Background in AI/GenAI integration or use of AI-powered development tools is advantageous.

Additional Details

• Job locations include Bangalore, Hyderabad, Pune, Chennai, and Vadodara.
• Work schedule: 2 PM to 11 PM IST.
• Work arrangement: Hybrid mode.
• Notice period: Immediate joining preferred; candidates serving notice periods under 30 days are encouraged.
• Eligibility: Open to any graduates.