Top Azure Jobs in Calgary

Lead design and governance of enterprise data architecture and cloud migrations. Design data models, integration frameworks (ETL/ELT, APIs, streaming), and SharePoint/M365 migrations. Define data governance, security, and lifecycle policies; document architectures and enable adoption across teams. Support Azure-based platform modernization and performance optimization.

Design and build scalable .NET backend services and gRPC microservices; optimize data layers (SQL Server, MongoDB, Elasticsearch); implement cloud integrations on AWS and Azure; ship AI/ML features (LLMs, RAG, vector search, ranking, personalization) and operate MCP servers; contribute to CI/CD, observability, containerization, and production ML integrations impacting high-traffic consumer marketplaces.

Design and build scalable full-stack web applications and APIs, drive architecture across frontend and backend, partner with product and design, mentor engineers, improve developer productivity via tooling and AI-assisted workflows, and migrate legacy systems to modern platforms.

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.

Design and build AI-powered internal accounting tools and integrations. Own architecture, security, and code quality; translate accounting processes into production-grade backend systems; collaborate with product and accounting staff; document systems and scale tools responsibly.

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

The Full Stack Engineer will develop and maintain scalable web applications, design system architecture, optimize performance, and collaborate with teams for code reviews in a hybrid work environment.

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 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.

Provide technical support to open-source and enterprise customers across channels; troubleshoot Kubernetes and Argo issues; escalate to engineering; improve documentation, support playbooks, and scalable processes; develop deep expertise in GitOps and Akuity’s offerings.

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.

Senior Sales Engineer for West Canada supporting pre-sales activities: build technical business cases, design solutions and architecture diagrams, create demos/POCs/presentations, educate partners, apply AI-enabled tools for discovery and demos, and expand opportunities within accounts. Requires strong networking and security background and frequent field travel.

Lead pre-sales and post-sales technical engagements to help customers adopt Aiven's managed open-source services. Conduct proofs-of-concept, ensure customer stability and enablement, support sales processes, create technical content (blogs, webinars, talks), and travel up to 20% to build and maintain customer relationships.

Lead and scale a global engineering organization to deliver enterprise-grade AI/GenAI SaaS products. Define technology strategy and roadmap, drive architecture for LLMs/RAG/NLP systems, ensure scalability/reliability, establish DevOps and quality practices, partner with Product/Sales/Customer teams, and manage hiring, budgets, and leadership development.

Design and deliver enterprise-grade AI/GenAI solutions on Salesforce or ServiceNow. Lead RAG pipelines, LLM workflows, NLP automation, and vector retrieval integrations. Architect scalable API/microservice integrations, ensure performance, security, and reliability, and define AI governance and guardrails. Collaborate with product, engineering, and customers through discovery, workshops, and demos to operationalize AI for Field and Customer Service workflows.

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.

Serve as the day-to-day technical leader for enterprise SaaS implementations: translate business requirements into implementation-ready stories, define APIs and data mappings, identify technical risks, produce solution documentation, and collaborate with clients, architects, business analysts, and engineering teams to ensure delivery quality.

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.

Design and deliver end-to-end marketing measurement and testing: data extraction, modeling, analysis, and visualization. Prioritize and route requests, translate business needs into technical requirements, mentor junior analysts, improve measurement standards, and drive actionable insights for retail and brand partners.

Design, build, test, and deploy scalable full-stack web applications using Java/Spring and modern JavaScript. Develop backend services/APIs, optimize database queries, support CI/CD and automated testing, participate in code reviews, and mentor junior developers while collaborating with cross-functional teams.

Lead pre-sales and solution design for enterprise AI, cloud, software and data engagements. Craft proposals, proofs-of-concept, and reference architectures; run workshops; align stakeholders; support delivery transition; collaborate with Sales, Marketing and Delivery to grow the AI practice and drive measurable client outcomes.

Design, develop, integrate, and maintain scalable web applications and backend services using .NET Core and Python. Build RESTful APIs and microservices, optimize database queries, implement security and authentication, support CI/CD and cloud deployments, participate in Agile/Scrum, perform testing and performance tuning, and produce technical documentation.