Top Azure Jobs in Calgary

The role involves operating and scaling Kong's SaaS platform, building automated infrastructure, optimizing multi-region data layers, enhancing observability, and ensuring reliability across services.

Design and lead the development of cloud-native Generative AI platforms and solutions, ensuring scalability, security, and integration with enterprise applications.

The role requires designing and developing web applications and backend systems, integrating LLMs, and ensuring quality software delivery.

Lead the architecture and development of enterprise software tools, focusing on secure cloud systems, Node.js applications, and AI integrations while ensuring quality and reliability.

As an Engineering Lead, you will architect and drive the execution of AI-integrated solutions for enterprise clients, managing multiple projects and ensuring secure, scalable implementations while communicating with technical stakeholders.

Lead enterprise data, analytics, and AI transformation engagements as a strategic advisor and architect. Design cloud data platforms, warehouses/lakehouses, governance, BI/semantic models, and integration strategies. Provide delivery oversight, mentor teams, conduct architecture reviews, and support pre-sales and thought leadership to drive measurable business outcomes.

As a Data Engineering Architect, lead the transformation of data engineering into a modern platform, oversee architecture and technical leadership, design scalable systems, ensure data quality and governance, and mentor teams for a data-driven culture.

Lead architecture and evolution of Juniper Square’s distributed services, cloud infrastructure, and developer platform. Design scalable, multi-tenant, event-driven systems; build paved-road developer tooling, CI/CD, and observability. Hands-on coding, prototyping, and performance troubleshooting. Enable production AI/LLM workloads, ensure security/compliance, support enterprise upmarket needs, and mentor engineering teams to raise operational excellence and reliability.

The role involves owning and shipping a significant product surface at Motion, leveraging AI in engineering workflows, and raising team quality by example.

As a Staff Data Scientist, you will analyze large-scale broadband data, develop and validate ML models, and integrate solutions into Calix Cloud, collaborating with teams for enhanced network intelligence and subscriber experience.

The Senior Site Reliability Engineer will ensure reliability and scalability of cloud infrastructure, enhance incident management, and optimize operational efficiencies through collaboration with various teams.

The Software Engineer will design, develop, and maintain backend APIs, collaborate on B2B solutions, and optimize performance in a dynamic, distributed environment.

Build and maintain scalable web applications and backend services using React, TypeScript, Next.js and Node.js. Design APIs (REST, gRPC, GraphQL), work with PostgreSQL and cloud infrastructure, improve CI/CD and developer tooling, contribute to architecture, mentor engineers, and deliver AI-powered features and CRM workflows.

Owner of cloud infrastructure and reliability for a distributed microservices platform: design and maintain Azure infrastructure with Terraform, manage Kubernetes/Helm deployments, build CI/CD pipelines and observability, operate PostgreSQL at scale, lead incident response and postmortems, and support migration from legacy .NET/MSSQL to a cloud-native stack.

Design, build, and maintain scalable .NET application features, refactor and fix existing code, write unit/integration/automated tests, perform code reviews, and collaborate with product, design, front-end, back-end, and DevOps teams to deliver reliable software.

Lead enterprise application and CX modernization by defining API-first, microservices, and event-driven architectures. Drive migration roadmaps, dismantle legacy systems, mentor engineering teams, set governance standards, and support integrations between legacy ESBs and modern platforms. Engage stakeholders and deliver cloud-native, customer-facing solutions.

Build, automate, and support cloud infrastructure and CI/CD pipelines. Automate deployments and operational workflows, manage IaC, troubleshoot environments, improve developer tooling, monitor system health, and document processes.

Design and build AI-powered internal accounting tools and integrations. Own architecture, security, and code quality; translate accounting processes into production-grade backend systems; collaborate with product and accounting staff; document systems and scale tools responsibly.

Design and build scalable .NET backend services and gRPC microservices; optimize data layers (SQL Server, MongoDB, Elasticsearch); implement cloud integrations on AWS and Azure; ship AI/ML features (LLMs, RAG, vector search, ranking, personalization) and operate MCP servers; contribute to CI/CD, observability, containerization, and production ML integrations impacting high-traffic consumer marketplaces.

The Full Stack Engineer will develop and maintain scalable web applications, design system architecture, optimize performance, and collaborate with teams for code reviews in a hybrid work environment.

The Mid-Market Account Executive will sell Cyera's cloud data security solutions, managing the full sales cycle and building customer relationships with executive-level stakeholders.

The Senior Software Engineer, Voice AI will design and implement complex systems for emergency response communications, oversee AI integrations, and provide technical mentorship.

Administer, deploy, and maintain MECM environments (on-prem, cloud, hybrid). Manage software packaging/deployment, OS deployment, patching, endpoint compliance, and integrations with Intune. Provide Tier II/III support, automate tasks with PowerShell, monitor MECM health, and support federal cybersecurity and compliance requirements.

Design, build, and maintain scalable Databricks-based ETL/ELT pipelines and data models optimized for AI/ML. Manage orchestration, data quality, governance, and CI/CD (ADO → GitHub) while collaborating with cross-functional teams in Agile delivery.

The Senior Data Engineer will scale and evolve the data platform, develop ETL/ELT pipelines, establish best practices, and optimize systems for performance while collaborating with various teams.