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 in Pyth
  • onAPI development using FastAPI / Fla
  • skHands-on experience with Google Cloud Platform (GC
  • P)Cloud R
  • unCloud Storage (GC
  • S)Pub/S
  • ubI
  • AMExperience in REST API design & OpenAPI/Swagg
  • erKnowledge of event-driven architectu
  • reExperience with Docker (containerizatio
  • n)CI/CD experience using GitHub Actio
  • nsGit version control & workflo
  • wsUnderstanding of Agile development methodologi
  • esTerraform (Infrastructure as Cod
  • e)GCP Artifact Regist
  • ryKubernet
  • esExperience handling multiple file forma ts (JSON, Parquet, Avro, etc
  • .)Exposure to AI-assisted development too


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