Azure Cloud Infrastructure

Collaborate with the client to understand product requirements.
Identify documentation sources and establish data collection processes.
Develop a workflow engine to gather and process data.
Create a machine learning model for scanning sensitive data.
Design cloud-hosted infrastructure using FaaS microservices in Java.
Integrate a Python-based data science engine for accurate scanning.
Build and integrate a DevOps pipeline for continuous deployment and integration.
Implement tools for SAST, DAST, and OSS scanning.
Develop Azure Redis Cache infrastructure for performance enhancement.
Perform unit and integration testing with a minimum 80% coverage rate.
Document all processes and train client developers on architecture and component development.

What We Want to See:

7+ years in software development with strong Java expertise.
Proficient in cloud infrastructure and FaaS microservices.
Experience with machine learning model development.
Strong DevSecOps background, including CI/CD pipelines.
Familiarity with SAST, DAST, and OSS scanning tools.
Experience with Azure Functions and Redis Cache.
Thorough in unit and integration testing.