• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 19th Aug 2025

1. Expert Python Architect
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.

1. Skilled in system design- For a Python-based system, this could include scripts, libraries, APIs, and other software modules.
2. 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. 

1. 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.