Top Azure Jobs in Calgary

Own go-to-market for Upbound’s AI inference portfolio, including positioning, messaging, competitive strategy, launches, enterprise buyer research, sales enablement, pricing input, and open-source-to-commercial narratives. The role requires customer-facing thought leadership through analyst briefings, executive preparation, public speaking, podcasts, and community engagement. Success requires deep B2B infrastructure product marketing experience, technical fluency, open-core experience, and the ability to launch emerging products rapidly.

Secure Temporal’s multi-cloud platform across AWS, GCP, and Azure by embedding security into infrastructure and application architecture. Responsibilities include threat modeling, risk assessment, Kubernetes hardening, multi-tenant isolation, gRPC and mTLS security, service mesh configuration, cloud security posture management with Wiz, secrets management, encryption, compliance policy development, engineering partnership, and on-call participation. The role also contributes to responsible AI practices and security for distributed workflow systems.

Lead pre-sales technical strategy for strategic mid-enterprise accounts. Conduct discovery, shape requirements, run competitive proofs of concept, develop integrations, deliver demos and architecture reviews, and communicate business value to senior stakeholders. Advise customers on AI governance, container security, DevSecOps, software supply chain integrity, and secure development workflows. Build technical champion relationships, support competitive sales strategies, advocate for customer needs internally, and partner with sales, product, engineering, post-sales, and support teams.

Serve as the technical SME for compliance automation, overseeing GRC control mapping, evidence collection, integrations, and continuous monitoring. Partner with engineering teams to embed compliance into workflows, support audits and framework rollouts, assign control ownership, reduce audit burden, and maintain audit readiness. Lead cross-functional initiatives and communicate compliance risks, control status, and progress to technical and leadership audiences. The role requires cybersecurity framework expertise, program management, cloud and API fluency, GRC platform experience, and familiarity with AI-enabled compliance workflows.

Leads the design and delivery of scalable data pipelines, dbt models, orchestration workflows, and analytical data models. Establishes data architecture, engineering standards, testing, observability, governance, and quality practices. Partners with stakeholders to deliver data-driven solutions, supports incident response, and provides technical leadership through design reviews, mentorship, hiring, and team development.

The role involves monitoring and managing SAP systems, HANA databases, performing upgrades, troubleshooting, and ensuring system performance in an Azure environment.

As the DevOps Guardian, you will oversee build, release, and environment management in Azure, collaborating closely with the product team and implementing best practices for continuous delivery.

Lead the deployment of AI solutions for public sector clients, ensuring compliance with security standards while integrating AI into enterprise workflows.

Develop and optimize machine learning and statistical models for fraud detection and anti-money laundering. Analyze large datasets to identify fraudulent patterns, build scalable data pipelines and features, evaluate model performance, and collaborate with engineering, product, and operations teams. Communicate insights to technical and non-technical stakeholders while maintaining data privacy and security compliance. The role offers significant ownership in building Oscilar’s early machine learning stack within a remote-first startup.

Designs, builds, and deploys production AI solutions for legal and compliance workflows. Partners with legal stakeholders to develop LLM, RAG, agentic AI, document-processing, search, evaluation, governance, security, and compliance applications. Writes tested Python or TypeScript code, manages AI infrastructure and deployment, establishes quality frameworks, and mentors legal users on no-code AI solutions while collaborating with IT and data teams.

Designs, builds, and operates cloud infrastructure and reliability capabilities for an enterprise AI platform. Responsibilities include infrastructure as code, landing zones, Kubernetes, CI/CD, observability, incident response, SLOs, production readiness, automation, cost optimization, and support for hybrid, edge, on-premises, and customer-controlled environments. This remote, client-facing consulting role requires strong communication, production ownership, and the ability to balance reliability, delivery speed, security, and operational cost.

Lead front-office investment technology implementations from current-state analysis and requirements through workflow design, configuration, integration, testing, training, and handover. Manage project plans, statements of work, governance, budgets, client communications, and teams of developers and consultants. Advise executive stakeholders on technology choices, operating models, data architecture, migration, quality assurance, and best practices across asset and wealth management platforms.

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 Power Platform solutions (Power Apps, Power Automate, Power Pages) integrated with Dataverse, SharePoint, SQL Server and external APIs. Lead full development lifecycle, implement secure authentication, CI/CD via Azure DevOps, develop custom connectors and PCF components, enforce governance/DLP, support UAT and training, and optimize performance and integrations with Microsoft 365, Dynamics 365, and Azure services.

Lead design, implement, and maintain a scalable SaaS insurance platform across front-end and back-end. Provide technical direction, mentor developers, enforce best practices, optimize performance, ensure security and compliance, and drive adoption of modern architectures and testing methodologies.

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.

Design and operate scalable, cloud-native data pipelines and orchestration systems for imaging, biomarker, and healthcare data. Build Databricks and distributed processing workflows, integrate DICOM data into data lakes, and implement validation, observability, monitoring, and fault tolerance. Collaborate with data science, AI, R&D, product, and data management teams to deliver secure, compliant, reliable data for analytics and machine learning.

Owns the cloud architecture vision and roadmap for an AWS-first, multi-cloud SaaS environment. Designs secure, resilient, scalable, and cost-efficient infrastructure; leads cloud modernization; enables AI and data platforms; establishes Terraform, CI/CD, observability, security, governance, and reliability standards; and partners with engineering, security, operations, customers, auditors, and leadership. Coordinates major incident response and drives self-service infrastructure and developer experience improvements.

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.

The Full Stack Software Engineer will develop and deliver ML-powered applications, working with cloud services, APIs, and modern front-end frameworks while actively participating in technical design and collaboration within a project pod.

Designs and governs end-to-end Dynamics 365 Business Central ERP architectures, integrations, extensions, data migration strategies, security, scalability, and DevOps processes. Leads discovery sessions, architecture workshops, technical reviews, pre-sales activities, and solution planning. Collaborates with architects, developers, clients, and delivery teams throughout implementation lifecycles, while mentoring technical staff and establishing development and release standards.

Build scalable infrastructure for machine learning training, deployment, monitoring, retraining, and continual learning. Responsibilities include distributed training pipelines, dataset and annotation workflows, experiment tracking, model versioning, benchmarking, CI/CD, cloud-to-edge deployment, inference APIs, and embedded NVIDIA platform optimization. The role collaborates with computer vision, navigation, embedded software, and cloud engineering teams to move AI research into reliable production systems.

Leads engineering, optimization, security, automation, and continuous improvement of Microsoft Azure and Microsoft 365 platforms. Oversees cloud infrastructure, migrations, modernization, Infrastructure as Code, monitoring, resilience, disaster recovery, cost optimization, and complex troubleshooting. Provides technical leadership, mentors cloud engineers, establishes governance and engineering standards, and collaborates with architects, cybersecurity, application teams, vendors, and business stakeholders on strategic cloud initiatives.

Designs, secures, operates, and supports multi-account cloud infrastructure across AWS, Azure, and GCP. Responsibilities include AWS networking, Terraform infrastructure as code, GitHub Actions CI/CD pipelines, identity and access management, cloud governance, observability, incident response, disaster recovery, cost optimization, and compliance controls. The role also develops automation, maintains technical documentation, and provides after-hours support when needed.

Owns end-to-end cloud operations for a multi-region SaaS portfolio, ensuring availability, performance, reliability, and cost efficiency. Leads production availability incidents, triage, resolution, root cause analysis, configuration and change management, monitoring, and alerting. Builds and develops a team of system administrators and SREs while partnering with Development, Technical Security, and Support to improve operational readiness and accountability across AWS and Azure environments.