Top Azure Jobs in Calgary

This role involves managing SharePoint Online, promoting M365 tools, providing technical leadership, and supporting digital transformation initiatives at Alberta Blue Cross.

The System Analyst will administer and support enterprise IT environments, focusing on Windows and Linux systems, cloud technologies, and automation. Responsibilities include maintaining security, providing technical expertise, developing automation methods, and participating in on-call support.

As a Bootcamp Instructor, you'll conduct live online classes, contribute to curriculum development, engage students, and provide performance feedback.

The Bootcamp Instructor will deliver live online classes, develop course content, engage with students, and provide assessments and feedback in AI-related subjects.

Work with the Global BI Support Engineering Team to test and support PUMA data service applications, monitor API performance, and troubleshoot issues, while collaborating with developers on projects and documentation.

Join PUMA's Global BI Support Engineering Team to test and provide technical support for REST APIs in the Azure environment. Collaborate with developers, monitor API performance, troubleshoot issues, and assist external parties. Requires strong Azure and REST API experience.

As a Cloud Engineer at 21Vianet, you'll architect, optimize, and maintain cloud solutions, troubleshoot issues, and collaborate on scalable infrastructure projects.

The Data Engineer will develop data pipelines, maintain data models, collaborate with data scientists, and contribute to cloud-based solutions to enhance business insights.

Develop and maintain back-end systems using Java, build RESTful APIs, collaborate with front-end developers, and optimize database performance.

Design and maintain data pipelines for healthcare data, ensure data quality and compliance, mentor engineers, and collaborate across teams.

Lead the design, deployment, and maintenance of cloud infrastructure. Collaborate on continuous integration, automate processes, and ensure security and efficiency of cloud services.

Lead the backend development of scalable software systems, manage projects through the software lifecycle, and optimize APIs and databases. Mentor junior engineers and work with cross-functional teams to enhance system functionality.

As a Senior Machine Learning Engineer, you will design and maintain machine learning algorithms, integrate tools, and collaborate with engineering teams while focusing on scalable AI solutions.

The AI Infrastructure Engineer II will design, build, and maintain cloud infrastructure for AI and ML workloads, utilizing tools such as AWS, Docker, and Kubernetes. Responsibilities include developing CI/CD pipelines and ensuring system performance.

As a Staff Machine Learning Engineer, you will design, implement, and maintain ML algorithms, collaborate on AI integrations, and utilize CI/CD for deployment.

The Senior AI/ML Engineer will design and maintain machine learning algorithms, collaborate with engineering teams, implement CI/CD pipelines, and develop RESTful APIs while advocating for team decisions in a regulated environment.

Join WEX's Risk Engineering team to create a cloud-based technology ecosystem, develop data platforms, mentor peers, and drive agile development for risk management.