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 API s using Python frameworks such as FastAPI or Flas kBuild and deploy cloud-native applications on GC P (Cloud Run, GCS, Pub/Sub )Implement event-driven architectur e for scalable and decoupled service sManage and secure cloud resources using IAM (GCP ) best practice sWork with various data/file format s (JSON, CSV, XML, Parquet, Avro, PDF, Excel )Containerize applications using Docke r and manage artifacts via GCP Artifact Registr yDevelop and maintain CI/CD pipeline s using GitHub Action sImplement Infrastructure as Code (IaC ) using Terrafor mDesign, document, and maintain APIs using OpenAPI/Swagge rCollaborate with QA and other teams for integration testin gUse AI-powered tools (Copilot, Claude, etc. ) to improve development productivit yParticipate actively in Agile ceremonie s (scrum, sprint planning, reviews )Ensure code quality using Git workflows, code reviews, and best practice s(Optional) Support/maintain services deployed on Kubernetes environment s Skills Require d:Primary Skills (Must Have ):Strong proficiency i n Pyth onAPI development usin g FastAPI / Fla skHands-on experience wit h Google Cloud Platform (GC P)Cloud R unCloud Storage (GC S)Pub/S ubI AMExperience i n REST API design & OpenAPI/Swagg erKnowledge o f event-driven architectu reExperience wit h Docker (containerizatio n)CI/CD experience usin g GitHub Actio nsGit version control & workflo wsUnderstanding o f Agile development methodologi esTerraform (Infrastructure as Cod e)GCP Artifact Regist ryKubernet esExperience handlin g multiple file forma ts (JSON, Parquet, Avro, etc .)Exposure t o AI-assisted development too ls