Senior Azure Platform Engineer - Enterprise Cloud & DevOps
Machine Learning Technologies, LLC
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Job summary
Machine Learning Technologies, LLC is seeking an experienced Azure Platform Engineer to design, build, and sustain enterprise Azure capabilities from Minneapolis. You will work across networking, security, APIs, and containerized apps in a fast-paced environment.
The role emphasizes CI/CD, DevOps, and collaboration with ERP, security, and infrastructure teams. Strong troubleshooting and independent work are valued to keep Azure platforms reliable and scalable.
Qualifications
- Extensive experience designing and supporting enterprise Azure environments.
- Experience with Azure networking, gateways, security, and containers.
- Experience with Azure API Management.
- Experience with CI/CD, DevOps, and code repositories.
- Ability to independently build and maintain Azure platform capabilities.
- Strong collaboration and troubleshooting skills.
Responsibilities
- Design, build, and maintain enterprise Azure platform capabilities.
- Support Azure networking, integrations, gateways, security, and containers.
- Develop and maintain Azure API Management capabilities.
- Build and support CI/CD processes, DevOps practices, and code repositories.
- Configure Azure Monitor to support platform performance and reliability.
- Support Azure AI Foundry and Azure Data Fabric capabilities.
- Improve the performance and functionality of existing Azure platforms.
- Collaborate with ERP, application, security, and infrastructure teams.
- Support Azure products, AI solutions, and custom applications.
- Troubleshoot complex issues across the Azure platform.
Skills
Tools
Job description
Machine Learning Technologies, LLC is seeking an experienced Azure Platform Engineer to design, build, and sustain enterprise Azure capabilities from Minneapolis. You will work across networking, security, APIs, and containerized apps in a fast-paced environment.
The role emphasizes CI/CD, DevOps, and collaboration with ERP, security, and infrastructure teams. Strong troubleshooting and independent work are valued to keep Azure platforms reliable and scalable.
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