Top Azure Jobs in Calgary

Lead a software engineering team to build scalable, cloud-native applications while mentoring engineers and integrating AI solutions. Drive technical strategy, architecture, and best practices in DevOps and cloud systems.

Lead Intelex's AWS-first cloud architecture vision, designing secure, highly available, and cost-efficient infrastructure. Enable AI and data platforms, define IaC standards (Terraform), CI/CD (GitHub Actions, Octopus), observability, and security/governance. Partner with Engineering, InfoSec, and Data teams to drive migrations, reliability, and compliance for SaaS and AI workloads.

Senior Windows-focused Platform Engineer responsible for administering Windows server environments, supporting IBM FileNet/DataCap/BAW/ICN applications, ensuring security and performance, implementing monitoring, troubleshooting production issues, documenting systems, and collaborating with internal teams and clients to improve platform stability and processes.

As a Sr. Software Engineer, you'll design and develop features for a SaaS platform, collaborate with teams, tackle technical problems, and ensure high-quality solutions with an ownership mindset.

The Software Developer II will design and develop full-stack features focusing on front-end development, contribute to product and technical discussions, and enhance the ShareGate platform's user experience with C# .NET and React.

Hands-on Engineering Manager to write production backend code, drive API and architecture decisions, own CI/CD and reliability, mentor and grow engineers, run team ceremonies, manage delivery and incidents, and participate in hiring.

The GPU Cloud Platform Engineer designs and operates multi-cluster GPU infrastructures for AI workloads, ensuring performance and efficiency across cloud environments.

Design, build, test, and maintain enterprise C#/.NET applications within agile teams. Develop scalable REST APIs and data models, write automated unit tests, enforce SOLID/OOP practices, mentor engineers, participate in planning/code reviews, and communicate with clients to deliver high-quality solutions.

As a Data Architect, you will architect data solutions, ensure data integrity, collaborate with stakeholders, and mentor junior team members, driving data value and management strategies.

The Senior Sales Engineer will partner with customers to provide technical education on WEKA's solutions, assist with evaluations, and deliver presentations and demos, acting as a technical adviser while contributing to technical documentation.

Lead and grow strategic hyperscaler and technology partner relationships (AWS, Azure, Google Cloud, CRM/CCaaS platforms). Define alliance strategy, build co-sell/co-market programs and marketplace listings, drive partner-sourced pipeline and revenue, coordinate cross-functional execution, manage executive alignment, and track partnership performance using data-driven scorecards.

Deliver front-office investment technology consulting: requirements, workflow design, system configuration, integration, testing, and handover. Provide subject-matter expertise on OMS/EMS/PMS platforms, data architecture, cloud integrations, and program governance to ensure timely, on-budget transformations.

Lead cloud cost visibility, forecasting, and optimization across AWS, Azure, and AI environments. Build and automate FinOps tooling and workflows, manage tagging and cost allocation, recommend and track savings plans/reservations, monitor anomalies, and collaborate with engineering and finance to drive cost efficiencies.

Serve as the final escalation point for complex Microsoft cloud and Windows desktop issues. Perform deep technical analysis, own escalated tickets from investigation through resolution, collaborate with Product and Engineering, mentor Tier 1/2 teams, produce RCAs and knowledge base articles, and drive problem management and continuous improvement.

The Account Executive is responsible for growing sales of Microsoft 3-cloud products, managing sales cycles from lead capture to closure, and building relationships with Microsoft account teams and clients.

Quota-carrying enterprise sales role focused on selling Data & AI services and Database Managed Services. Build territory plans, maintain forecasted pipeline in Salesforce, lead discovery and solution conversations for Production AI and cloud data platforms, co-sell with hyperscaler and OEM partners, and manage complex deal execution across internal teams to close high-value, recurring-revenue engagements.

As a DevOps Engineer, you will design, develop, and deploy scalable SaaS solutions, automate infrastructure tasks, and collaborate on CI/CD enhancements.

As a Staff Backend Engineer, you'll develop and maintain scalable reconciliation systems within Grafana Cloud, enhancing reliability and operational efficiency while collaborating with multiple teams.

As a Search Engineer in Technical Support, you'll resolve technical issues, assist customers with Lucidworks products, and document solutions while collaborating with internal teams.

Executive leader responsible for strategy, modernization, delivery, governance, and vendor management of enterprise platforms (ERP, HCM, EPM, Finance, HR, Procurement). Leads transformation, cloud adoption, integration, AI enablement, portfolio governance, and cross-functional stakeholder engagement to drive operational excellence and business value.

Lead vision, strategy, and execution for the Elastic Agent Builder to enable scalable context for AI agents. Engage enterprise customers and sales to capture requirements, define roadmap for context engineering, benchmark agent capabilities with data science, design UX for context refinement, and evangelize capabilities to partners and the developer community.

Lead global SRE team to design, operate, and optimize scalable cloud infrastructure (AWS/Azure/GCP). Own reliability, observability, incident response, IaC, CI/CD, cost optimization (FinOps), security hygiene, and mentor engineers while contributing hands-on and researching AI-driven SRE tooling.

Build and maintain backend and full-stack marketplace features while supporting ML Ops infrastructure (model deployment, feature stores, real-time pipelines, monitoring). Collaborate with data scientists to bring models to production, write well-tested code, address performance and scalability issues, and contribute to technical planning and cross-functional communication.

Build and maintain full-stack marketplace features and support ML Ops infrastructure (model deployment, feature stores, real-time pipelines, monitoring) on Chalk and Vertex AI. Collaborate with data scientists to productionize models, write well-tested code, address performance/scalability issues, and contribute to technical planning.

Build and own end-to-end backend systems for forecasting and agentic LLM research: design, deploy, monitor, debug, and harden features and pipelines (benchmarks, agents, production services). Prototype quickly, work with LLM APIs and coding agents, and collaborate with researchers to improve evaluation and forecasting tools.