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 Flas
- kBuild and deploy cloud-native applications on GCP (Cloud Run, GCS, Pub/Sub
- )Implement event-driven architecture for scalable and decoupled service
- sManage and secure cloud resources using IAM (GCP) best practice
- sWork with various data/file formats (JSON, CSV, XML, Parquet, Avro, PDF, Excel
- )Containerize applications using Docker and manage artifacts via GCP Artifact Registr
- yDevelop and maintain CI/CD pipelines 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 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
- 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 formats (JSON, Parquet, Avro, etc
- .)Exposure to AI-assisted development too
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