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Azure Cloud Architect (10184389)

Toronto, Ontario
The Azure Cloud Architect role is responsible for architecture, design, and delivery of cloud solutions on Microsoft Azure. The candidate will have the following responsibilities:
• Explaining complex technical concepts to an executive audience
• Architects and designs Azure cloud-based solutions that meet the project requirements to include security and compliance standards
• Develops internal Azure based prototypes and assets for internal educational purposes and to reduce project delivery times
• Manages large to small teams and has the hands-on skills to support the team given the needs of the project
• Participates and support sales activities

• Minimum 3 years hands on experience developing innovative applications.
• Experience with at least one modern programming language (including but not limited to Kotlin, Go, NodeJS, Rust, Python and sometimes Java).
• Minimum 3 years of experience designing an architecture for a cloud native application.
• Minimum 3 years experience with Azure Cloud Platform, ( platform components and assembling application and runtime architecture).
• Microsoft Azure Certification
• Experience working in an agile team.
• Bachelor's Degree or equivalent
• The candidate must have hands on working knowledge in one or more of the following Azure service categories:
• Azure systems infrastructure that power today’s modern and highly available web and mobile applications, with deep domain expertise in one or more areas: Windows and/or Linux OS, networking, storage, high availability, DR architecture, cloud security, application performance
• App Service including Web Apps, Mobile Apps, API Apps, or Logic Apps
• Relational databases – database architecture and design (PostgreSQL, MySQL, Oracle, MS SQL Server, Azure SQL DB PaaS Service)
• NoSQL databases (CosmosDB, Cassandra, MongoDB)

Preferred Qualifications (General):

Below are ‘nice to haves’, and if you don’t have more than one or two, don’t be discouraged. We’re trying to build a team with a very diverse set of skills and backgrounds, and a big part of that means different skills.
• Experience with serverless frameworks and architectures.
• Experience with containerizing legacy applications in the public cloud; native or 3rd party container solutions (e.g. Docker, Kubernetes, Docker EE, Mesosphere)
• Experience with event driven architectures and constituent technologies (e.g. Kafka, Kinesis) and patterns (Event Sourcing, etc)
• Cognitive Services including natural language processing, speech processing, and image processing
• Analytics including HDInsight (Hadoop), Machine Learning, Power BI, Data Lake Store, Data Lake Analytics
• Internet of Things including IoT Hub, Machine Learning, Stream Analytics, and Event Hubs
• Third party OSS PaaS platforms such as RedHat OpenShift and CloudFoundry
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