| Urgent requirement---Lead GCP-Python Developer--REMOTE at Remote, Remote, USA |
| Email: [email protected] |
| From: Dolly Rawat, TEK INSPIRATIONS LLC [email protected] Reply to: [email protected] Job Description - Title- Lead GCP/ Python Developer Location - 100% Remote Must have the linkedln Microservices Very Important, 1. Expert Python developer 2. Flask- Flask is called a "micro" framework because it provides the essentials for web development but leaves many other functionalities to be added through extensions and Fast- FastAPI is built on top of standard Python type hints and modern Python features, making it a powerful tool for developing APIs quickly and efficiently. Web APIs: Allow communication over HTTP, created with frameworks like Flask, Django, or FastAPI. Library APIs: Expose functions and classes within Python libraries. Operating System APIs: Provide access to OS features via modules like os and sys. Database APIs: Enable interaction with databases using libraries like SQLAlchemy. RESTful and GraphQL APIs: Two popular styles of APIs for web services. 3. Skilled in system design- For a Python-based system, this could include scripts, libraries, APIs, and other software modules. 4. Expert in GCP dataflow- Integrated with GCP Services: Dataflow integrates seamlessly with other GCP services, like BigQuery, Cloud Storage, and Pub/Sub, enabling a comprehensive data processing ecosystem. GCP cloud infrastructure- Google Compute Engine (virtual machines), Google Kubernetes Engine (container orchestration), and Google App Engine (platform-as-a-service) fall under this category. These provide the computational power needed to run applications and services. Jenkins- Automatically processing with Jenkins, CI/CD pipeline, Groovy, Kubernetes and other DevOps tools such as Docker container, Git/Github, and Shell script in Unix/Linux environment. 5. You can use Python to trigger Jenkins jobs using the Jenkins REST API. Trigger Jobs: Use Python to start Jenkins jobs through REST API calls or libraries like python-jenkins. Check Status: Query Jenkins for build status and job information. Python Libraries: Utilize libraries like python-jenkins for easier interaction with Jenkins. Pipelines: Integrate Python scripts into Jenkins pipelines for automated builds and tests. Logs and Notifications: Automate the retrieval of logs and manage notifications based on build outcomes. Groovy- Groovy Calling Python: Use Groovys execute() method to run Python scripts. Python in Jenkins Pipelines: Incorporate Python scripts into Jenkins pipelines using Groovy. Generating Groovy Code: Use Python to generate Groovy scripts dynamically. Data Exchange: Exchange data between Python and Groovy using files or other methods. Python Calling Groovy: Use Pythons subprocess to execute Groovy scripts. Integrating Python with Groovy allows you to leverage the strengths of both languages and build more flexible and powerful automation solutions. Keywords: continuous integration continuous deployment information technology Urgent requirement---Lead GCP-Python Developer--REMOTE [email protected] |
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| Fri Sep 27 19:52:00 UTC 2024 |