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).

3. Pub/Sub.

4. 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.