Top Azure Jobs in Calgary

The role involves overseeing the delivery and iteration of the DoiT PartnerOps platform, focusing on optimizing cloud billing, partner operations, and enhancing partner satisfaction through effective communication and feedback loops.

The AI Implementations Manager oversees the delivery and stabilization of AI solutions, ensuring alignment with architecture and managing complex integrations across teams and stakeholders.

The Senior Solutions Architect will ensure customer success on the Docker platform by delivering technical guidance, supporting customer relationships, and presenting solutions. Responsibilities include customer engagement, collaborating with teams, and authoring technical content.

The Technical Architect is responsible for designing and implementing scalable solutions, engaging with customers and vendors, and mentoring engineering teams. They must contribute code and ensure successful delivery while maintaining a hands-on approach.

Design and develop software applications for logistics and supply chain operations, collaborating with teams to enhance service offerings and ensure robust functionality.

As a Java Angular Software Engineer, you will develop high-quality software, participate in Agile teams, mentor colleagues, and drive project delivery.

Develop and maintain scalable, cloud-based platform services. Enhance reliability and observability, automate infrastructure, provide technical leadership, and improve operational excellence across teams.

The Sr Software Development Engineer will design and maintain scalable cloud-based solutions, lead project technical direction, and ensure high-quality deliverables in a fast-paced Agile environment.

As a Principal .NET Software Engineer, you'll modernize payment infrastructure, enhance scalability and security, and lead design discussions while ensuring cross-functional collaboration.

The Staff Software Engineer will design and develop AI-focused full-stack applications, drive technical strategy, mentor engineers, and collaborate with teams to solve complex problems in a dynamic environment.

Drive technical enterprise sales by architecting cloud and SaaS solutions (AWS/Azure/GCP) that integrate AI, engage executive and technical stakeholders, influence product roadmap, and support large-scale deployments with up to 50% travel.

Support sales by delivering technical presentations, PoCs, architecture design, RFP responses and demos; drive successful handoff to delivery, perform site assessments, inform product roadmap, and evangelize Axon solutions to public safety agencies.

This role leads compliance automation within the GRC function, managing integrations, designing AI-driven workflows, and ensuring continuous compliance monitoring and risk management.

The Elastic AI Engineer will develop agentic workflows, integrate AI models with APIs, manage agent lifecycles, and implement security standards.

The Senior/Principal ML Engineer will build digital infrastructure for computational workloads, focusing on model iteration, deployment, and collaboration with scientists. Responsibilities include developing ML workflows, defining CI/CD pipelines, and mentoring team members.

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, implement, and operate cloud and Kubernetes detection and response controls across Azure and AWS. Develop detection-as-code, playbooks, and automations; perform threat hunting, incident triage, and collaborate with engineering and IT teams. Participate in on-call rotations and improve security posture for regulated environments.

As a Domain Technical Project Manager, you will lead telecom software development projects, collaborating with stakeholders, managing timelines, facilitating communication, and integrating Agile practices.

The Senior Cloud FinOps Analyst will manage FinOps services, build analytics dashboards, improve cloud cost governance, and enhance operational efficiencies in a multi-cloud environment.

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 Head of Product will lead product strategy, develop AI capabilities, manage the product roadmap, and expand the product suite in a cloud development startup.

The AI/ML Engineer will develop and maintain AI/ML pipelines, leverage Generative AI technologies, and collaborate with teams to integrate solutions.

As a Senior Software Engineer, you'll build the core infrastructure for AI agents using Redis, write Go code, and shape product direction while operating with high autonomy.

The Senior Data Scientist will design and deploy time-series forecasting models, collaborate with stakeholders, and operationalize models in cloud environments, focusing on demand planning across various industries.

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.