Python Developer With GCP DE

Job Summary

We are looking for an experienced Software engineer with strong expertise in Google Cloud Platform (GCP), API development, and cloud-native application design. The ideal candidate will build scalable, event-driven backend services using modern cloud technologies and collaborate with cross-functional teams in an Agile environment.

Key Responsibilities

• Design and develop RESTful APIs using 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 GCP IAM 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 such as GitHub Copilot and Claude to improve development productivity
• Participate actively in Agile ceremonies (Scrum, Sprint Planning, Reviews)
• Ensure code quality through Git workflows, code reviews, and engineering best practices
• Support and maintain Kubernetes-based deployments where applicable

Required Skills

• Strong proficiency in Python
• FastAPI and/or Flask
• Google Cloud Platform (GCP)
• Cloud Run
• Cloud Storage (GCS)
• Pub/Sub

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• IAM
• REST API Design & OpenAPI/Swagger
• Event-Driven Architecture
• Docker & Containerization
• GitHub Actions (CI/CD)
• Git Version Control
• Terraform (Infrastructure as Code)
• GCP Artifact Registry
• Kubernetes
• Experience handling JSON, Parquet, Avro, CSV, XML, and other file formats
• Agile Development Methodologies
• Exposure to AI-assisted development tools