Python Backend Developer – GCP (API & Cloud)

Job Summary:

We are looking for a skilled 6+ years of experience Python Backend Developer with strong experience in API development and Google Cloud Platform (GCP). The role involves designing, developing, and deploying scalable, event-driven backend services using modern cloud-native architectures. The candidate will work in an Agile environment and collaborate with cross-functional teams to deliver high-quality solutions.

Key Roles & Responsibilities:

• Design and develop RESTful APIs using Python frameworks such as FastAPI or Flask
• Build and deploy cloud-native applications on GCP (Cloud Run, GCS, Pub/Sub)
• Implement event-driven architecture for scalable and decoupled services
• Manage and secure cloud resources using IAM (GCP) best practices
• Work with various data/file formats (JSON, CSV, XML, Parquet, Avro, PDF, Excel)
• Containerize applications using Docker and manage artifacts via GCP Artifact Registry
• Develop and maintain CI/CD pipelines using GitHub Actions
• Implement Infrastructure as Code (IaC) using Terraform
• Design, document, and maintain APIs using OpenAPI/Swagger
• Collaborate with QA and other teams for integration testing
• Use AI-powered tools (Copilot, Claude, etc.) to improve development productivity
• Participate actively in Agile ceremonies (scrum, sprint planning, reviews)
• Ensure code quality using Git workflows, code reviews, and best practices
• (Optional) Support/maintain services deployed on Kubernetes environments

Skills Required:

Primary Skills (Must Have):

• Strong proficiency in Python
• API development using FastAPI / Flask
• Hands-on experience with Google Cloud Platform (GCP)
• Cloud Run
• Cloud Storage (GCS)
• Pub/Sub
• IAM
• Experience in REST API design & OpenAPI/Swagger
• Knowledge of event-driven architecture
• Experience with Docker (containerization)
• CI/CD experience using GitHub Actions
• Git version control & workflows
• Understanding of Agile development methodologies
• Terraform (Infrastructure as Code)
• GCP Artifact Registry
• Kubernetes
• Experience handling multiple file formats (JSON, Parquet, Avro, etc.)
• Exposure to AI-assisted development tools

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