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Google Cloud Platform Certified Developer
Google Cloud Platform Certified DeveloperBigStep Technologies • Gurgaon
Google Cloud Platform Certified Developer

Google Cloud Platform Certified Developer

BigStep Technologies • Gurgaon
30+ days ago
Job description

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 handson 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.
  • (ref : hirist.tech)

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