Python Backend Developer - Flask Framework

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).

1.

Cloud

Run.

2.

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.