What are the responsibilities and job description for the Looking for Google Cloud Platform Python Developer || Chicago, IL || Locals Only || w2 position position at Anveta Inc?
Job Details
Google Cloud Platform Python Developer (W2 Position)
Location : Chicago, IL
Duration : 6 Months
Need Local s
Job Description :
Need 10 years of Experience as a Python developer
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.
Skilled in system design- For a Python-based system, this could include scripts, libraries, APIs, and other software modules.
Expert in Google Cloud Platform dataflow- Integrated with Google Cloud Platform Services: Dataflow integrates seamlessly with other Google Cloud Platform services, like BigQuery, Cloud Storage, and Pub/Sub, enabling a comprehensive data processing ecosystem.
Google Cloud Platform 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.
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 Groovy s 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 Python s 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.
Please share resume to Mike AT anveta DOT com
