Top Azure Jobs in Calgary

As a Staff AI Software Engineer, you will design and build autonomous AI systems for security testing, focusing on reliability, scaling, and integration with enterprise infrastructure, all while collaborating with top security experts.

As a Front-End Architect, you'll design scalable frameworks, mentor engineers, and lead modernization efforts for SaaS products, enhancing developer experience and code quality.

Lead the design and delivery of large-scale machine learning systems, mentoring engineers while driving technical strategy and collaboration across teams in AEC solutions.

The Staff Software Engineer (Product) designs and builds software features, supports technical decisions, and mentors other engineers, focusing on high-quality, maintainable systems.

The Staff Software Engineer will design and build platform systems, address technical issues, collaborate with teams, and mentor engineers, focusing on reliability and scalability.

The Database Reliability Engineer manages the cloud database infrastructure, improves processes through automation, liaises with engineering teams, and enhances database performance and availability.

The Cybersecurity Engineer will secure BECU's infrastructure, automate operations, respond to incidents, enhance policies, and improve cybersecurity tools while supporting a seamless service for members.

Design, build, and operate core infrastructure for high-performance blockchain systems and low-latency trading workloads, ensuring reliability and scalability.

As the DevOps Guardian, you will oversee build, release, and environment management in Azure, collaborating closely with the product team and implementing best practices for continuous delivery.

The Senior Back-End Engineer will develop and maintain high-performance server-side applications for TeraWave, ensuring scalability and security while collaborating with cross-functional teams.

The Senior Machine Learning Engineer will develop and optimize AI image generation models, monitor production issues, and collaborate on ML solutions for generative features.

The Senior Analytics Engineer will lead the development and optimization of the data platform, implementing Medallion architecture and collaborating with cross-functional teams to create scalable data solutions.

The Senior Software Engineer will architect and build scalable cloud infrastructure, collaborate with teams, and improve system security and performance.

Lead research and innovation for product development, focusing on AI-driven features and collaboration across teams to shape product strategy and execution.

The Technical Solution Architect will translate business requirements into scalable solutions, design technical specifications, and collaborate with cross-functional teams while adhering to enterprise standards and advocating for modern architectural practices.

Translate business needs into clear technical plans for cloud solutions, manage risks, and collaborate with cross-functional teams while adhering to enterprise architecture standards.

As a Senior Software Engineer, you'll implement features, mentor developers, design solutions, and ensure code quality in a SaaS application.

The Senior Software Engineer will develop end-to-end observability features, maintain system performance, mentor team members, and contribute to project ideation and operations.

Lead a software engineering team in developing automation and modeling products for construction; ensure quality and performance while mentoring engineers.

Design, build, and deploy high-performance deep learning models for 3D medical image segmentation, geometric analysis, and physiological prediction. Own end-to-end ML systems, write tested production-quality Python/C++ code, mentor junior engineers, and integrate models into the broader software ecosystem while ensuring compliance with medical imaging standards.

The Business Intelligence Specialist supports data systems, improves processes, and engages stakeholders, delivering visualization solutions and solving client problems.

The Agentic AI Lead/Architect will define AI architecture on Azure, lead design of AI automation use cases, and mentor engineers.

The Partner Marketer will drive collaborations with partners to enhance adoption of Cognition's AI solutions, develop joint messaging, execute co-marketing initiatives, and measure performance of partner programs.

The Technical Support Engineer will provide enterprise-level support to customers, troubleshoot issues, and document knowledge while ensuring high-quality service and communication.

The Data Platform Marketing Manager will lead marketing strategies for DoiT's data lake and Snowflake optimization business, aiming to drive growth and impact.