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 Fast API or Flas k Build and deploy cloud-native applications on GCP (Cloud Run, GCS, Pub/Sub )Implement event-driven architecture for scalable and decoupled service s Manage and secure cloud resources using IAM (GCP) best practice s Work with various data/file formats (JSON, CSV, XML, Parquet, Avro, PDF, Excel )Containerize applications using Docker and manage artifacts via GCP Artifact Registr y Develop and maintain CI/CD pipelines using Git Hub Action s Implement Infrastructure as Code (Ia C) using Terrafor m Design, document, and maintain APIs using Open API/Swagge r Collaborate with QA and other teams for integration testin g Use AI-powered tools (Copilot, Claude, etc.) to improve development productivit y Participate actively in Agile ceremonies (scrum, sprint planning, reviews )Ensure code quality using Git workflows, code reviews, and best practice s(Optional) Support/maintain services deployed on Kubernetes environment

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Skills Require

d: Primary Skills (Must Have

): Strong proficiency in Pyth on API development using Fast API / Fla sk Hands-on experience with Google Cloud Platform (GC P)Cloud R un Cloud Storage (GC S)Pub/S ub I AMExperience in REST API design & Open API/Swagg er Knowledge of event-driven architectu re Experience with Docker (containerizatio n)CI/CD experience using Git Hub Actio ns Git version control & workflo ws Understanding of Agile development methodologi es Terraform (Infrastructure as Cod e)GCP Artifact Regist ry Kubernet es Experience handling multiple file formats (JSON, Parquet, Avro, etc .)Exposure to AI-assisted development too ls