Senior Azure Integration Architect (3 Month Contract)

CompassX Group•Irvine, CA

1d•Remote

About The Position

CompassX is seeking a Senior Azure Integration Engineer to lead API and integration migrations to Azure-based platforms. This role involves executing end-to-end migrations, implementing API-led and event-driven architectures, and ensuring seamless cutovers with minimal disruption in a fast-paced, enterprise environment. The position is a 3-month remote contract.

Requirements

7–10 years of experience in an enterprise development environment with a focus on complex IT architectures.
6+ years of hands-on experience with Azure integration and API management.
6+ years of hands-on development experience in Python.
Deep expertise in MS SQL Server and Oracle DBaaS relational database systems.
Proven ability to work independently while aligning multiple technical and non-technical teams in a fast-paced environment.
Expert knowledge of design and integration principles.
Strong leadership skills with a track record of mentoring others and aligning stakeholders on risk and execution strategy.

Nice To Haves

Working knowledge of MuleSoft Runtime and Anypoint Platform.

Responsibilities

Lead the execution of complex API and integration migrations to Azure, including refactoring patterns and coordinating cutovers to minimize downtime.
Implement API-led and event-driven integration patterns using Azure services, deployment tools, and monitoring frameworks.
Architect and secure APIs in Azure APIM using OAuth 2.0, Entra, mTLS, and robust API governance practices.
Operate and administer Azure platform components using Infrastructure-as-Code (IaC) tools like Terraform/OpenTofu, Azure CLI, and the portal.
Develop containerized Azure Functions and deploy integration workloads to Azure Kubernetes Service (AKS).
Design complex data transformations with reusable libraries, managing multi-level mappings and translations.
Automate CI/CD processes using GitLab and enforce engineering quality through unit, integration, and functional testing.
Establish actionable observability for APIs using Azure Monitoring and external tools like Splunk.
Champion the use of GenAI tools (like GitHub Copilot) to accelerate delivery speed and improve code quality safely.
Drive root-cause analysis and lead troubleshooting efforts to provide durable, preventative fixes for production incidents.