Top Azure Jobs in Calgary

Hunt and close net-new enterprise accounts across Alberta, building executive relationships and value-based business cases. Drive pipeline via prospecting, partners, and events; lead complex sales cycles with Sales Engineers and Customer Success to deliver observability, security, cloud modernization, and AI-driven outcomes.

The Site Reliability Engineer will manage cloud infrastructure, automate tasks, collaborate in agile teams, and ensure service reliability and quality.

Manage and scale Enverus' global AWS infrastructure, automate deployments and CI/CD, ensure high uptime, collaborate with developers to enable zero-downtime releases, participate in on-call rotations, and improve operational practices.

Design, deploy, and operate enterprise network infrastructure across data centers and cloud (GCP, AWS, Azure). Manage VPCs, VPNs, BGP, F5 BIG-IP, hybrid connectivity, and observability. Build IaC and automation with Terraform, GitLab CI/CD, and Ansible. Maintain monitoring, documentation, and participate in on-call support for critical incidents.

Lead high-impact reliability projects to improve resiliency, scalability, and deployment safety for thousands of services. Build secure configuration and secrets systems, improve canary-based release systems, partner with critical teams to reduce operational toil, drive observability and reliability best practices, participate in on-call rotations, and communicate architecture decisions to stakeholders.

Design, build, and maintain SparkSQL/PySpark data pipelines in the central data lake to ingest IoT, product, and unstructured data (video/audio). Produce reliable computed tables for analytics, model training, and dashboards; integrate external datasets; ensure high data quality and uptime; and collaborate with Data Science, ML, and cross-functional teams.

Design, build, and operate large-scale Spark/PySpark data pipelines and the enterprise data platform. Implement data integrations, transformations (Python/SQL), monitoring, and data quality. Build MCP servers and AI-enabled tooling, optimize performance, mentor engineers, and lead cross-functional data projects to enable analytics and automation.

Design, build, and ship production AI systems for Acquia DAM. Architect agentic, stateful multi-agent workflows, own AI observability and RAG architectures, evaluate LLM providers and tooling, mentor engineers, and ensure enterprise-grade security, scalability, and compliance for AI features.

Lead multi-year strategy, product architecture, and monetization for MongoDB's distributed query engine. Drive cross-functional alignment, mentor PMs, engage senior customers, own business cases, and represent the product externally to shape roadmap and market adoption.

Design, build, and optimize Databricks Lakehouse data platforms and production ETL/ELT pipelines using PySpark, Delta Lake, and medallion architectures. Implement governance with Unity Catalog, manage CI/CD and IaC, optimize Spark and clusters for performance/cost, collaborate with data science and analytics teams, and mentor engineers while driving observability and security/compliance practices.

Design, build, and optimize Snowflake-based data platforms: ingest and model data, implement ELT pipelines, enforce governance and security, tune performance, build CI/CD, enable near-real-time solutions, mentor engineers, and collaborate with stakeholders.

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.

Design and implement a distributed query optimizer for MongoDB: research query systems, architect and build features to improve query performance, collaborate across teams, mentor engineers, and drive long-term roadmap and production-quality changes in a large C++ codebase.

Design, build, and operate enterprise-scale multi-cloud infrastructure (Azure primary, GCP, AWS exposure). Own landing zones, Terraform modules, production AKS/GKE Kubernetes, Vault secrets, hybrid networking, CI/CD pipelines, monitoring, DR, and automation (Ansible, Python/Bash). Mentor engineers, document runbooks, and collaborate with security, application teams, and leadership to ensure secure, reliable, cost-optimized cloud platforms.

Lead design and delivery of Workday integrations and AI-driven HR solutions. Architect secure cross-platform integrations (Workday, ServiceNow, ATS), leverage AI/LLMs and agentic workflows, manage agile delivery, vendor relationships, build business cases, and ensure high-quality testing and implementation of P&C technology.

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.

Ensure health, stability, and performance of production data platform: respond to incidents, monitor and alert, manage pipelines and APIs, enforce data validation and quality checks, optimize processing performance, collaborate on AWS infrastructure, maintain runbooks/documentation, and support downstream data consumers across multiple business data sources.

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

Design and build features for the SFS banking platform, onboard Block products, build secure fault-tolerant systems handling sensitive financial data, ensure service reliability, remediate incidents, and create durable operational fixes.

Lead and hands-on develop cloud-native applications for Gas Transmission operations: design, code, review, mentor, translate requirements into scalable solutions, ensure reliability, performance, and engineering best practices across testing, automation, security, and CI/CD.

The Infrastructure & DevOps Specialist will design and optimize secure, scalable infrastructure, manage cloud environments, and enhance automation and operational efficiency across global operations.

Design, operate, and improve on-premises MLOps infrastructure to productionize, deploy, monitor, and optimize ML models. Troubleshoot across the stack (Linux, Docker, Kubernetes), refine CI/CD workflows, integrate training/validation testing, and collaborate with data scientists and engineers to ensure reliability and performance at scale.

Lead and coach a team of Cloud Solution Architects to drive customer adoption of Microsoft AI solutions (Copilot, Copilot Studio, M365, Power Platform), improve account coverage, measure impact via MAU/PRU/revenue metrics, deliver cloud endpoint and virtualization solutions, and drive operational excellence and skilling programs.

Hands-on IT Systems Administrator responsible for Microsoft 365 administration, identity and device management, IAM and tenant consolidation during acquisitions, endpoint security (EDR/MDM), help-desk and asset management, vendor evaluations, and building IT processes and documentation to scale operations.

Design, build, and deploy scalable AI/ML systems and pipelines. Develop reusable Python packages, RAG/LLM integrations, agentic workflows, evaluation/monitoring frameworks, optimized data queries, and MLOps practices while collaborating across cross-functional teams.