Top Azure Jobs in Calgary

The Software Engineer 3 will design, build, and operate backend services for Cloud Payments, focusing on large-scale distributed systems, collaborating with teams to enhance billing and payment capabilities, ensuring system reliability and customer experience.

As a Consultant, you will support customers in using Falcon Next-Gen SIEM by providing expert advice, technical vision, and integration services, while fostering internal collaboration for product enhancements.

As a Senior Solutions Engineer, you'll engage with enterprise customers, addressing technical sales, creating presentations, conducting demos, and leading proof of concepts for Cloudflare solutions.

Lead client engagements and implement solutions across Microsoft Security, Identity, and Collaboration platforms. Architect end-to-end security capabilities.

The Senior Product Manager for Security will lead the product vision and strategy for security features, working with engineering and other teams to enhance data security and safeguard customer trust.

The Lead CDP Architect will strategize scalable architecture for Customer Data Platforms, ensuring compliance and data governance, while guiding a multidisciplinary team and delivering technical solutions.

You will architect and implement scalable Customer Data Platform solutions, ensuring data governance, while leading a multidisciplinary team for client success.

As an AI Engineer, you will develop and maintain data pipelines, manage data integration, and enhance data quality for analytics projects.

The Staff Product Security Engineer will enhance product security through collaboration with teams, threat modeling, code analysis, and developing security-focused testing practices.

Lead security product strategy and roadmap for data security features (IAM, encryption, governance, auditing). Partner with engineering and cross-functional teams to define requirements, KPIs, and deliverables that deepen customer trust and drive business outcomes in enterprise and regulated industries.

The CDP Architect will strategize and architect scalable implementations of Customer Data Platforms, ensuring data governance and security while leading technical delivery for data infrastructure and marketing technology.

The Cloud Platform Engineer will automate AWS infrastructure deployment, maintain CI/CD pipelines, enhance observability tools, and support developer operations.

The Security Operations Manager leads security incident response, oversees operations processes, manages a remote team, and collaborates across departments to enhance security measures.

Lead the Identity & Security Product Management team, defining product strategy for IAM and security features, collaborating with stakeholders and driving compliance and security initiatives across MongoDB products.

Develop and maintain data solutions and AI applications, optimize pipelines, and collaborate with cross-functional teams to deliver impactful results.

The AI Engineer will design, implement, and deploy AI solutions leveraging Generative AI and agentic architectures, integrating various tools and frameworks while collaborating with cross-functional teams to deliver production-grade applications.

The Analytics Engineer will lead data visualizations, manage analytics lifecycles, mentor juniors, and help clients adopt best data practices, emphasizing Sigma and business intelligence solutions.

Design, train, and deploy ML and NLP models (including custom transformers) using modern tooling; prepare and transform large datasets; monitor production pipelines; communicate results to stakeholders; ensure model reliability, explainability, and ethical alignment.

Design and build complex web applications and APIs across front-end and back-end stacks. Develop scalable microservices, integrate SQL/NoSQL databases, deploy cloud-native solutions using Docker/Kubernetes on Azure or GCP, and implement automated testing and CI/CD pipelines while collaborating with clients and cross-functional teams.

As a Senior Quality Platform Engineer, you will develop and maintain quality infrastructure, improve developer experience, and implement quality engineering practices to ensure scalable, efficient testing workflows.

The Senior Applied AI/ML Scientist will lead customer-centric AI/ML feature development, collaborate with stakeholders, and deliver impactful solutions that improve business outcomes and customer experiences.

Design and implement integrations across enterprise systems, leveraging AI tools and automation frameworks. Develop Python scripts and collaborate with stakeholders to enhance workflows and data accessibility.

Join AVEVA's graduate program in Cloud Operations, focusing on developing applications and managing cloud solutions using advanced technologies and agile methodologies.

The QA Analyst will perform manual and automated testing, maintain test scripts, ensure product quality, and collaborate on testing strategies across various systems and applications within the organization.

The Senior Data Architect will develop the enterprise data architecture, focusing on data integration, governance, and enabling data products for analytics and AI/ML across Azure and GCP.