Top Azure Jobs in Calgary

Own and evolve cloud infrastructure across AWS/GCP/Azure, build CI/CD and containerized deployments, design multi-tenant environments, implement monitoring and IaC (Terraform/Ansible), lead data protection and threat detection, and support compliance and security audits.

Build and maintain large-scale, cloud-based detection and threat-intelligence systems. Design, implement, and ship high-throughput streaming data pipelines and production-grade APIs, mentor engineers, lead architecture and cross-functional initiatives, remove technical debt, and ensure operational excellence including on-call support and security best practices.

Own and scale Mozilla's web bug bounty program; triage and validate reports; drive end-to-end remediation with engineering teams; perform targeted code reviews (JavaScript, Python); collaborate with SIRT on incidents and post-incident reviews; build tooling and metrics to improve triage, automation, and program insights.

Develop, maintain, and enhance Power BI semantic models, ETL (M), DAX calculations, and reports. Collaborate with Agile delivery and business stakeholders to gather requirements, build analytics solutions (Power BI, Power Apps, Power Automate, Databricks, Sigma), perform testing, documentation, and troubleshooting, and support data governance and reporting initiatives to drive operational and strategic decision-making.

Architect and implement production-grade agentic AI integrations connecting SAST/SCA/DAST into developer workflows (IDEs, CI/CD, PRs). Design multi-agent orchestration, MCP-based tooling, APIs and MCP Gateway, prototype new integrations, improve SAST AI fix recommendations, and mentor engineers.

Develop and maintain cardiovascular medical imaging software on cloud platforms. Design and implement GUI workflows, backend services, and post-processing algorithms. Collaborate with developers, architects, and QA to deliver scalable, testable, and performant SaaS solutions.

Build and productionize ML systems for personalization, search, and recommendations. Apply statistical and ML models using Python and SQL, collaborate with stakeholders, and measure business impact across cloud environments.

Manage and scale hybrid build pipelines and multi-cloud infrastructure (GCP/Azure/AWS), administer databases (MongoDB, MySQL, PostgreSQL, Redis), support player authentication (Keycloak), and collaborate on networking, security, and live game delivery to ensure reliable releases across iOS, Android, and Steam.

The Principal Technical Product Owner will lead the DoiT Partner Platform, driving strategy, execution, and mentoring product owners while leveraging expertise in cloud operations and billing systems.

Perform comprehensive manual penetration tests across web, API, mobile, internal/external networks, Active Directory, and cloud environments. Validate vulnerabilities, produce technical and executive reports, and work with clients on remediation and retesting.

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

Lead product strategy and execution for Redis Cloud across enterprise, digital-native, and AI customers. Define requirements, manage product lifecycle, work with customers and cross-functional teams, and drive launches, adoption, and technical decisions related to cloud infrastructure, data platforms, and AI workloads.

Hands-on IT Systems Engineer responsible for endpoint management, identity and access administration, cloud and network support, infrastructure-as-code, compliance (SOC2/FedRAMP/CMMC), automation, and documentation. Own device lifecycle, IdP provisioning, VPN/segmentation, Terraform IaC, audit responses, and cross-functional IT initiatives to scale secure corporate operations.

As a Machine Learning Ops Engineer, you'll develop robust code, build and maintain MLOps infrastructure, QA systems, and mentor junior engineers to enhance AI model performance for mining clients.

As a Forward Deployed ML Engineer, you will apply machine learning to mining operations, develop neural network architectures, and communicate findings to non-technical stakeholders while working independently.

Seeking an experienced Frontend Engineer to enhance user experience for multimodal data management applications. Responsibilities include optimizing user interfaces, collaborating with designers, and building scalable backends.

Lead advanced analytics and ML projects: perform EDA, feature engineering, statistical modeling, and build/optimize production ML and Generative AI solutions (LLMs, embeddings, RAG). Collaborate with engineering and MLOps to deploy and monitor models, create visualizations and dashboards, translate insights for stakeholders, and mentor junior team members.

As a Backend Engineer at Trust Wallet, you'll develop backend features for multiple platforms, maintain infrastructure, ensure system monitoring, and foster team growth.

Design and advance core infrastructure for engineering, ensure Kubernetes reliability, automate operations, and support AI infrastructure.

As a Staff Software Engineer, you'll lead software infrastructure development, drive AI innovation, mentor engineers, and collaborate across teams to build advanced applications.

Lead enterprise data, analytics, AI, automation, and information governance. Define strategy and roadmap, modernize data platforms (lakehouse/Azure Databricks), establish AI and automation capabilities, enforce governance/MDM (Semarchy), deliver BI/Power BI and predictive solutions, run Automation CoE, drive data literacy, and build a high-performing cross-functional team.

Senior individual contributor who architects, prototypes, and ships production-grade AI solutions for Finance. Focus areas include agentic AI, multi-agent orchestration, ML forecasting and anomaly detection, RAG and vector-store solutions, responsible AI and governance, and embedding AI into FP&A processes. Partners with engineering, IT, security, and finance teams to productionize systems and establish standards, monitoring, and controls.

Lead presales engagements to design enterprise data platforms and governance on Microsoft Fabric and Azure Databricks. Conduct discovery workshops, architect governance with Purview/Unity Catalog, define AI-readiness and Copilot access, author proposals/RFP responses, run POCs/demos, and partner with sales and delivery teams to size and transition engagements to managed services.

Architect and design complex Azure cloud infrastructure, lead migrations and CAF workshops, create landing zones, implement DR/BC plans, enforce security/compliance, automate deployments, and guide development teams.

Lead technical pre-sales strategy and advanced product demonstrations for enterprise cybersecurity and cloud customers. Mentor SEs, design solution architectures, shape POCs and product feedback, drive process improvements, and support executive-level customer engagements to close strategic deals.