Top Azure Jobs in Calgary

Manage and modernize a hybrid research and education infrastructure stack: deploy and operate OpenStack and public cloud resources, maintain hardware and IaC, implement Kubernetes and observability (Prometheus/Grafana/ClickHouse/Zabbix), build logging/telemetry pipelines (Vector/Fluentd/Kafka), provide Tier 3 support to members, and participate in a compensated on-call rotation.

Manage and modernize Alberta's hybrid research and education infrastructure: deploy and operate OpenStack and public cloud resources, maintain hardware and IaC, implement observability (metrics, logs, traces), build telemetry/log pipelines, use configuration management and Kubernetes, provide Tier 3 support to member organizations, and participate in an on-call rotation.

Lead Azure-focused consulting engagements to define cloud adoption strategies, architect Azure-native and modernized applications, integrate Agentic AI and Azure OpenAI, provide delivery governance, mentor teams, support pre-sales, and develop reusable Azure/AI frameworks and accelerators.

The Senior Dynamics 365 and Power Platform Developer will design and maintain solutions leveraging Dynamics 365 and Power Platform to support an enterprise transformation, ensuring system reliability and security.

Develop and test smart contracts on Ethereum, design scalable services, own implementations, improve code quality, and manage cloud servers.

The Network Specialist is responsible for designing, installing, and maintaining network systems. Duties include ensuring network security, performance, and compliance, as well as providing technical support and managing system upgrades.

Seeking a Data Engineer to design and maintain ETL pipelines, data models, and infrastructure for analytics, working with enterprise clients.

The Linux Systems Specialist will solve technical problems, maintain client relationships, and manage Linux systems, cloud services, and networking tasks while ensuring service quality and improving processes.

Lead and develop a team of Solution Engineers to drive customer Cloud and AI adoption. Coach staff, build stakeholder and partner relationships, manage pipeline and forecasting, support technical pre-sales engagements, and align resources to deliver business outcomes while promoting continuous learning and industry best practices.

Lead design, development, and maintenance of cloud-native, microservices-based backend systems using Java 11+ and the Spring ecosystem. Build RESTful APIs and event-driven integrations, implement CI/CD with Azure DevOps, containerize with Docker/Kubernetes, ensure observability, and champion automated testing. Mentor engineers, conduct code reviews, and collaborate with cross-functional teams in Agile environments to align technical solutions with business priorities.

Design, build, and maintain scalable, cloud-native Java backend systems and microservices. Lead architecture, implement APIs, CI/CD, containerization, automated testing, observability, and mentor engineers within Agile teams.

Lead a regional sales team to build territory, coach Account Executives on prospecting and CRM use, ensure quota attainment, conduct performance reviews, recruit, manage key customer and channel relationships, and implement processes for sales visibility and escalation.

Design, develop, and deploy Power Platform solutions (Power Apps, Power Automate, Power Pages) integrating Dataverse, SharePoint, SQL Server and external APIs. Build custom connectors, PCF components, and secure authentication. Implement ALM and CI/CD with Git and Azure DevOps, apply governance (DLP), optimize performance, run requirements workshops, lead UAT and training, and support ongoing maintenance and integrations with Microsoft 365/Azure/Dynamics 365.

Design, scope, and implement modern analytics solutions; lead pre-sales, POCs, and client relationships; manage data engineering lifecycle, teams, testing, and cloud data platform integrations to deliver business outcomes.

Design, deploy, and maintain HPC and MLOps infrastructure across cloud and on-prem clusters. Manage schedulers (Slurm/PBS), optimize MPI/CUDA stacks, storage and networking, automate deployments with Python/Bash, instrument systems, and enable AI training/inference pipelines while collaborating with product and support teams.

The AI Engineer designs, develops, and deploys AI-driven applications for non-data scientists, enhancing decision-making and model accessibility for organizations.

As a Software Engineer, you will design and implement scalable infrastructure systems for AI-powered security solutions, optimize performance, and improve deployment practices across cloud environments.

Lead reliability and implementation for Kong's Managed Gateways: design and operate multi-cloud, Kubernetes-based systems, own incident response and SLOs, automate CI/CD and IaC, mentor SREs, and drive enterprise customer onboarding and technical implementations.

Lead product vision, roadmap, and delivery for AI and analytics across the Intelex platform. Conduct customer discovery, define PRDs and success metrics, partner with engineering and design, manage end-to-end launches, instrument and monitor feature adoption and quality, enable go-to-market teams, and ensure AI governance, explainability, and compliance for enterprise EHSQ use cases.

Serve as technical lead for presales on multi-domain deals: run discovery and design workshops, architect cybersecurity and networking solutions, produce diagrams, BOMs and SOWs, build outcome-based business cases, and support sales from discovery through proposal.

Own channel motion for Canada: generate partner-sourced pipeline, build territory and partner plans, onboard and enable partners, manage deal execution and registrations, ensure pipeline hygiene and reporting, and coordinate cross-functionally to accelerate partner-influenced bookings.

Lead development of a Canadian private cloud proposition and manage the Managed Services Solutioning team. Oversee solution architecture and commercial support for complex consult+managed services pursuits across cloud, applications, data, and infrastructure. Drive repeatable offerings, pricing, go-to-market, solution governance, delivery readiness, and team capability while partnering with sales, delivery, and partners to win and transition large strategic deals.

As a Senior Fullstack Engineer, you'll design and develop healthcare AI applications, architect scalable solutions, collaborate with teams, and optimize performance.

As a Senior Solutions Engineer, you will engage in pre-sales conversations, design architecture, and deliver demos to help customers integrate LanceDB's AI solutions.

As a Senior Support Engineer, you will enhance customer support for LanceDB by building infrastructure, maintaining knowledge-bases, troubleshooting customer issues, and collaborating with engineering teams. Your expertise in distributed databases and proficiency in Rust and Python will help optimize cloud-native database deployments.