Azure Cloud Engineer

You Are:

• Self-motivated with a proven track record in architecting & engineering cloud solutions for enterprise environments
• Capable of building strong customer relationships and delivering customer-centric solutions
• A good decision-maker, with proven success at making timely decisions that keep the organization moving forward
• Adept at learning quickly, applying insights from past efforts to new situations
• Able to develop automation and apply it practically to enable efficiencies and eliminate manual tasks
• Able to document and communicate sophisticated concepts effectively to a diverse group of stakeholders

You Will:

• Architect, plan, and implement cloud solutions that balance simplicity, standards, scalability, extensibility, supportability, and integrity
• Work with MSKCC developers, user community to analyze their needs, then help them design, develop and test solutions in order to meet those needs.
• Provide expert guidance on standards for design, best practices, engineering changes, and configuration management across the hybrid cloud infrastructure.
• Provide guidance on core Azure services and work with the infrastructure teams with expertise in their respective areas to design, implement and integrate solutions in Azure.
• Implement cost optimized solutions (based on usage, business requirements and budget).
• Regularly evaluate existing cloud services to find opportunities for improvement.
• Provide forward-thinking technology leadership in developing innovative solutions with a strong emphasis on continual improvement in automating our infrastructure, services and software release processes.

You Have:

• Architectural experience in crafting and implementing solutions that run on Microsoft Azure, including aspects like compute, network, storage, serverless and security.
• Experience with Infrastructure automation templates such as Azure Resource Manager, Puppet, Ansible & Terraform.
• Azure Integration Services, Azure Logic Apps, hybrid cloud, advanced cloud security, Azure compute and storage services.
• Experience with Azure cloud data engineering (e.g. Azure ML, Azure Cosmos, Azure Synapse Analytics, Azure Databricks, Azure Analysis Services)
• Proven experience in architecting, implementing, and maintaining highly complex distributed software systems using cloud and infrastructure services.
• Experience working in an Agile environment utilizing the SAFe Agile framework.

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