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Gcp cloud developer

Coventry
Stackstudio Digital Ltd.
Cloud developer
Posted: 3h ago
Offer description

Role/Job Title: GCP Cloud Developer
Work Location: Warwick, UK (3days)
Role We are seeking a skilled and motivated GCP Cloud Developer with hands-on experience designing and implementing scalable cloud-based solutions using Google Cloud Platform (GCP). The ideal candidate will have a solid background in developing serverless applications, managing cloud storage and databases, and integrating with APIs using Apigee. Experience with Excel-based automation tools and version control systems like Azure DevOps is a strong plus. Your Responsibilities
* Design, develop, and deploy applications using Google Cloud Functions (Python or Node.js).
* Implement and optimize data pipelines using Google Cloud Dataflow.
* Manage and query relational databases using Cloud SQL (PostgreSQL/MySQL).
* Handle file operations and trigger-based workflows using Google Cloud Storage.
* Configure and manage access controls using Google Cloud IAM (service accounts and permissions).
* Integrate and manage APIs through Apigee API Management.
* Work with Excel VBA macros and offline tools for automation tasks.
* Maintain source code repositories and CI/CD pipelines using Git and Azure DevOps Repos.
* Collaborate with cross-functional teams to define and deliver high-quality solutions.
Essential Skills / Knowledge / Experience
* Proficiency in Python or Node.js for cloud function development.
* Hands-on experience with Google Cloud Platform services mentioned above.
* Strong understanding of cloud-native application design.
* Familiarity with Apigee and API gateway configuration.
* Working knowledge of Excel macros/VBA scripting.
* Good understanding of version control practices and tools like Azure DevOps Repos.
* Strong analytical and problem-solving skills.
* Excellent communication and collaboration abilities.
* GCP certifications such as Associate Cloud Engineer or Professional Cloud Developer.
* Experience with CI/CD automation on cloud platforms.
* Background in working with large datasets and ETL pipelines.


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