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).

• 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.