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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 contemporary cloud-native architectures. The candidate will work in an Agile workplace 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 s Skills Require d:Primary Skills (Must Have ):Robust 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 ls 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 contemporary cloud-native architectures. The candidate will work in an Agile workplace 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 s Skills Require d:Primary Skills (Must Have ):Robust 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 ls
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