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