Top Azure Jobs in Calgary

Drive partner success by guiding GTM strategy execution, building long-term partner relationships, implementing Tackle's operating model, enabling co-sell and marketplace best practices across AWS, Azure, and Google Cloud, improving workflows, using data to measure outcomes, and communicating results to stakeholders.

Lead design and operations of GPU infrastructure and Kubernetes-based AI platform environments. Manage capacity planning, optimize training/inference workloads, define reliability and security practices, implement IaC, monitoring, and disaster recovery, and collaborate with AI engineering to evolve infrastructure.

Senior backend engineer responsible for building and scaling microservice-based backend systems, driving technical initiatives, collaborating with product and sales, prioritizing customer needs, improving infrastructure and performance, and using AI tools to accelerate development and workflows.

The Cloud Software Engineer will design distributed systems for observability, ensuring reliability and performance, while automating operational work and collaborating with teams.

The Business Solution Architect leads the design and delivery of telecom solutions, bridging business needs and technical implementation while supporting digital transformation initiatives and guiding teams on architecture and integration.

Design and own end-to-end Azure-based data platform architecture using Databricks. Define ingestion, transformation, governance (Unity Catalog), and delivery standards; optimize performance and cost; integrate with Azure ecosystem and Power BI; mentor teams and guide delivery and CI/CD practices.

Design, build, and operate secure, tenant-isolated cloud infrastructure and CI/CD for an AI-native multi-tenant platform. Implement observability, policy-as-code, SLAs, incident response, and automate provisioning (Terraform/Helm). Support deployment, monitoring, and secure operations for ML/agent systems at scale.

Design and build end-to-end, enterprise-grade systems that enable AI agents to initiate and complete finance workflows. Own features across backend and frontend, integrate AI/ML models into auditable production systems, ensure scale, security, and reliability, and collaborate with product and customers to solve accounting problems.

The role involves leading full-stack architecture decisions, building scalable systems, optimizing performance, and mentoring developers, while driving platform strategies.

Lead development of the Budgeting platform: design and deliver complex, scalable features, improve code quality and automation, resolve production issues, and collaborate cross-functionally to meet sprint goals.

Operate, maintain and improve the global Tyk Cloud platform: run production Kubernetes clusters, manage cloud infrastructure, automate operations, run on-call incident response, create monitoring and dashboards, conduct post-incident analysis, document SRE processes, and drive reliability, efficiency and multi-region/multi-cloud expansion.

Lead the design and delivery of SaaS products powered by data, ML, and AI, collaborating across backend, systems, and cloud infrastructure. Drive architecture evolution, ensure operability and performance, and mentor engineering teams.

Lead enterprise AI strategy and roadmap; build and scale cross-functional AI/ML teams; architect and deliver LLM, RAG, predictive and data-heavy AI products; establish MLOps, governance, cloud-native platforms (Azure/Databricks/AWS/GCP); drive product lifecycle, KPI tracking, security, and responsible AI practices.

This is a general talent-pool posting for future non-technical roles (HR, Sales, Marketing, Finance, Operations, Audit, and other support functions). Candidates with relevant experience can submit profiles to be considered for suitable openings at VeriPark, a global technology company serving financial institutions.

Lead global network and connectivity strategy and operations across LAN/WAN/cloud for a regulated biotech. Own architecture, resilience, observability, vendor governance, service levels, and build a global connectivity organization to enable secure, scalable, high‑availability services.

The role involves designing, building, and deploying machine learning models, collaborating with teams to address business problems, and mentoring other data scientists.

Maintain availability, monitoring, and incident response for BeyondTrust Cloud Service. Troubleshoot distributed systems, implement fixes and preventive measures, collaborate across teams to meet SLAs, document work, follow risk/compliance, and drive automation and continuous improvement.

Design and develop scalable, secure frontend web applications for connected embedded systems. Lead frontend architecture, collaborate with backend/embedded teams, implement device provisioning, telemetry visualization, and remote management UIs. Optimize performance, accessibility, and maintainability; mentor engineers, participate in reviews, and drive frontend best practices.

Lead cloud infrastructure monitoring, automate operations, and design AI-driven predictive monitoring and automated incident response. Manage CI/CD pipelines, enforce cloud security/compliance, build monitoring/logging/alerting systems, perform incident triage and collaborate with development teams to optimize cloud resources.

Lead Andela Academy, scaling enterprise learning solutions in AI and Cloud. Build relationships, oversee team delivery, and drive revenue growth with high client satisfaction.

Design, build, and deploy scalable ML models and pipelines to enhance a talent marketplace and GenAI solutions. Lead experimentation (A/B tests, statistical validation), improve production ML performance, ensure code and data quality, work with cross-functional teams, mentor junior engineers, and propose innovative AI-driven solutions aligned to business goals.

The Technical Lead leads development teams, ensuring project success by translating client requirements into applications, managing technical delivery, and adhering to best practices in software engineering and DevOps.

As the first engineering hire, you will build the core intelligence engine for factories, handling full-stack development and influencing product decisions.

The Lead Engineer for BI will design data solutions, lead project teams, mentor, and drive BI strategy aligning with business needs.

Lead the design and development of scalable backend systems and APIs for intelligent applications while guiding teams and ensuring clean architecture.