Top Azure Jobs in Calgary

Design and deliver end-to-end marketing measurement and testing: data extraction, modeling, analysis, and visualization. Prioritize and route requests, translate business needs into technical requirements, mentor junior analysts, improve measurement standards, and drive actionable insights for retail and brand partners.

Design, build, test, and deploy scalable full-stack web applications using Java/Spring and modern JavaScript. Develop backend services/APIs, optimize database queries, support CI/CD and automated testing, participate in code reviews, and mentor junior developers while collaborating with cross-functional teams.

Lead and develop a TPM team overseeing TPMs, BI engineers, and release managers to deliver cloud software, networking hardware, and embedded systems. Establish PMO governance, SAFe practices, CI/CD-driven release management, risk/change controls, budgeting/forecasting, and executive analytics to ensure cross-functional alignment and timely, high-quality releases.

Design and implement automated validation and testing frameworks for data connectors; modernize connector platforms; investigate and resolve authentication, connectivity, and performance issues; build diagnostics, telemetry, and CI/CD to improve reliability and quality across cloud and on-premises data sources; mentor and contribute to engineering best practices.

The Manager of Solutions Engineering will lead a team focusing on technical business needs for Enterprise customers in cloud security across AWS, Azure, and GCP. Responsibilities include team leadership, accountability in Salesforce, and collaborating with sales and products.

Seeking Data Platform Engineers to design, build, and manage scalable data pipelines and analytic query engines while ensuring data integrity and performance optimization.

As a Backend Software Engineer, you'll develop critical backend systems focusing on APIs, data processing, and infrastructure while ensuring high-quality service delivery and robust architecture.

As a Senior Full Stack Software Engineer at Doxel, you will design and develop applications for project management, focusing on complex data handling and intuitive UI. Your role involves collaborating across teams and providing technical leadership in software projects.

Lead development of backend systems and integrations to ingest and process large-scale data, design secure multi-tenant SaaS architectures, own APIs and platform work, mentor engineers, author technical proposals, and troubleshoot production issues to minimize downtime.

Lead full‑stack development of the imaging web platform: architect and build ASP.NET Core services and Vue frontends, design secure APIs integrating EMRs and AI, own testing, CI/CD, and Azure deployments, mentor engineers, and collaborate with product, design, and clinical teams to deliver performant, reliable screening experiences.

Lead design and delivery of full-stack imaging features, architect high-performance ASP.NET Core services, build Vue frontends, integrate APIs with EMRs and imaging partners, mentor engineers, enforce automated testing, CI/CD and observability, and drive technical roadmap in an Agile team.

Design, develop, and maintain ELT/ETL Snowflake data warehouse solutions; implement data standards, CI/CD, monitoring, and production support; collaborate with product, business, and vendors; mentor junior developers and improve data engineering practices.

As an IT Systems Engineer, you'll manage user and device lifecycles, enhance endpoint security, and automate IT workflows, ensuring compliance and improving reliability in a remote tech environment.

As a Senior Deployment Engineer, you'll manage the deployment lifecycle of Atolio's enterprise search platform in diverse environments, ensuring scalability and security while collaborating with internal and client teams.

Lead the development of device intelligence and fingerprinting systems by designing backend services, collaborating on integrations, and applying advanced machine learning algorithms to enhance security and combat fraud.

Design, build, and maintain automation and testing infrastructure for the North platform: CI/CD pipelines, GitHub workflows, containerized test environments (Docker/Kubernetes), Helm and ArgoCD deployments, infrastructure-as-code, benchmarking, parallel test execution, and cross-team standards to improve test coverage, reliability, and deployment confidence.

As a Machine Learning Engineer, you will develop models for NLP and code-generation systems, analyze data, and improve AI performance using advanced algorithms. You'll manage the entire ML lifecycle and ensure effective communication of model benefits across the organization.

Develop and maintain scalable, reliable back-end systems and APIs, write maintainable code, and collaborate with global teams in a hybrid work environment.

Lead the development and deployment of advanced machine learning models focusing on NLP, while ensuring model integrity and communication with stakeholders.

The Software Engineering Lead will design and maintain enterprise software applications, develop APIs, and build back-end systems, ensuring quality and best practices.

Lead design and implementation of a zero-to-one, real-time collaborative web content platform. Own architecture, build backend sync and delivery services, craft low-latency frontend editing experiences, define engineering standards, evaluate third-party tradeoffs, and mentor engineers while partnering with product and design.

Serve as the technical bridge between sales and customers for Databricks solutions: lead discovery workshops, design scalable Lakehouse architectures, build demos and POCs, advise on integration with cloud and data tooling, demonstrate ML/GenAI capabilities, respond to RFPs, and enable internal teams. Travel ~40% to support customer engagements and partner activities.

The Dynamics 365 Finance & Operations Solution Architect leads design and implementation of Dynamics 365 solutions, oversees consultants, builds sales strategies, and ensures client success while maintaining an innovative approach.

Design, build, and optimize scalable AI-enabled application features and services. Integrate ML models and generative AI, ensure secure and test-driven implementations, troubleshoot AI performance, mentor engineers, and drive AI architecture, CI/CD, and best practices across teams.

Build and enhance enterprise analytics and visualization solutions: develop interactive dashboards, data-driven apps, transform and prepare data with Python, implement frontend visualization components with TypeScript, integrate with Microsoft and Google enterprise ecosystems, and use AI tools to accelerate development while collaborating with stakeholders and owning deliverables end-to-end.