IT Department

GCP Certified Developer (Remote)

Remote
Work Type: Full Time
Position: GCP Certified Developer
Experience 5+ Years
Location: 100% Remote

Working Hours: 6:00 AM IST – 3:00 PM IST

About the Role
We are seeking an experienced Google Cloud Certified Developer with hands-on expertise in
building, deploying, and managing applications on Google Cloud Platform (GCP). The ideal
candidate will have proven experience in cloud-native development, automation, and
working on scalable enterprise-grade solutions.
Key Responsibilities
  • Design, develop, and deploy applications leveraging GCP services.
  • Build and optimize cloud-native solutions using Compute Engine, App                           Engine,Cloud
  • Run, GKE (Kubernetes), Pub/Sub, Cloud Functions, BigQuery, Cloud Storage, etc.
  •  Write efficient, secure, and reusable code following best practices.
  •  Implement CI/CD pipelines, monitoring, and logging for production workloads.
  •  Collaborate with cross-functional teams to define cloud architecture, application           design, and security standards.
  • Ensure compliance with Google Cloud Partner requirements by maintaining active
          certification status.                                                                                             
  Required Skills & Qualifications
 
  • Google Cloud Professional Certification (Developer/Architect/Engineer track).
  •  5+ years of software development experience, including at least 3 years of hands-       on GCP experience.
  • Strong proficiency in one or more programming languages: Java, Python, Go, or           Node.js.
  • Experience with Kubernetes, Docker, Terraform/Infrastructure-as-Code, and                   DevOps practices.
  • Solid understanding of cloud security, IAM, networking, and monitoring.
  •  Experience with APIs, microservices, and serverless architectures.
  •  Strong problem-solving and debugging skills with ability to work in fast-paced
           environments.
    Good to Have
  • Experience in multi-cloud/hybrid cloud environments.
  •  Knowledge of data engineering tools like BigQuery, Dataflow, Dataproc.
  •  Exposure to machine learning or AI APIs on GCP.

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