Top Azure Jobs in Calgary

Partner with Account Executives to drive new commercial business by leading technical discovery, solution architecture, demos, and POCs. Co-own pipeline, guide complex multi-stakeholder deals, provide product and GTM feedback, and build scalable enablement resources and demo environments for the SE team.

Provide expert MySQL/InnoDB support to customer DBA teams: gather data, investigate issues, deliver analyses, run screen-share troubleshooting, author community content, build knowledge-base articles, and host webinars. Support includes performance tuning, HA, backups, Linux administration, monitoring, and occasional travel.

As a Full Stack Software Engineer at Doxel, you will design and develop full-stack applications, collaborating cross-functionally to optimize user experiences and facilitate data processing for construction projects.

The Lead Software Engineer will design and develop full-stack applications for construction project management, ensuring intuitive data workflows and collaborating across teams to enhance user experience and performance.

Provide remote technical support, troubleshoot issues, design security solutions, manage cloud and virtualization environments, and communicate with clients. Requires strong IT skills and customer service.

Design and deliver full-stack features for AI voice and chat products at enterprise scale. Integrate ASR/TTS and LLM improvements, optimize production systems for latency and cost, participate in on-call rotations, and collaborate with product and ML teams to ship high-impact, scalable solutions.

Build full-stack features for AI voice and chat products using TypeScript, Node.js, React, and Python. Integrate ASR/TTS and LLM improvements, optimize production systems for latency and cost, participate in on-call rotations, and collaborate with ML and product teams to scale enterprise AI conversations.

Build and prototype state-of-the-art large language models and AI assistants, take services from ideation to production, fine-tune open-source models, use LLM platforms, analyze model statistics and projections, and collaborate cross-functionally in a fast-paced hybrid Palo Alto environment.

Build and maintain backend systems and infrastructure for an AI-focused startup. Implement services in Python/TypeScript, design moderately complex systems, manage SQL/NoSQL databases, deploy on public cloud (AWS/GCP/Azure), use containerization and IaC, build CI/CD pipelines, implement monitoring/logging (Prometheus/Grafana/ELK/DataDog), and ensure strong networking, Linux, and database security.

Trusted technical advisor for strategic customers to deploy, operate, and scale LanceDB. Lead onboarding, architecture reviews, and performance tuning; troubleshoot distributed-system issues; build dashboards and enablement; collaborate with sales engineering and product/engineering to influence roadmap and resolve escalations; contribute runbooks, tooling, and processes for post-sales success.

Lead technical partner enablement and co-delivery for LanceDB: onboard and train partner engineers, run PoCs and architecture reviews, author reference architectures and deployment blueprints, relay partner feedback to product, and support GTM and thought-leadership activities to scale partner integrations.

The Forward Deployment Engineer will deploy and optimize Generative AI solutions, architect scalable infrastructure, and implement data pipelines across multi-cloud environments while collaborating with cross-functional teams to maximize business value.

Design, build, deploy, and optimize AI/ML models and pipelines (including LLMs and RAG). Integrate models into production, work with cross-functional teams, ensure monitoring and compliance, and contribute to scalable AI systems and automation.

Design, build, and operate scalable, secure cloud infrastructure and CI/CD pipelines. Manage Kubernetes environments, implement IaC (Terraform), improve observability, troubleshoot production issues, support security/compliance, and mentor junior engineers to optimize platform reliability and cost.

Design, build, fine-tune, and deploy production-grade AI and ML systems (LLMs, RAG). Develop scalable APIs, integrate AI into business systems, monitor model performance, and collaborate with cross-functional teams.

Develop scalable applications and backend infrastructure for brand safety and content suitability. Design APIs, deploy ML models, and manage database systems.

The Level 3 Support Engineer will provide expert support for Microsoft 365, lead technical projects, resolve escalated issues, and manage documentation and client communication.

Lead a team of cloud engineers to design, implement, secure, and optimize cloud-native landing zones on Azure and GCP. Own IaC (Terraform/Ansible), container orchestration (Kubernetes/Docker), CI/CD, monitoring, cost and security optimization, cross-functional integration, documentation, and mentoring.

Lead and mentor a team of Forward Deployed Engineers to deploy Cohere's North platform into private cloud and on-premises environments. Own technical delivery and customer success, collaborate with Product/Engineering/Sales, optimize K8s services (OpenSearch, databases), define GPU/CPU scaling, and build scalable processes and tooling.

Contribute to the reliability and performance of Mithril's GPU orchestration platform through automation, observability, and infrastructure management. Collaborate with the team to ensure scalability across multi-cloud environments while maintaining systems stability and implementing SLOs.

The Senior Software Engineer will focus on backend development, designing and maintaining APIs and services, collaborating on features, and enhancing integrations at Motion.

As a Technical Account Manager at Axon, you will manage customer relationships, provide technical support, and influence product strategies.

Design, build, and deploy AI-powered legal applications using LLMs, RAG, and agentic AI. Partner with legal stakeholders to translate workflows, build document ingestion and vector search pipelines, ship production-grade features, implement governance/security controls, and mentor/legal users while aligning solutions with enterprise architecture and monitoring quality and evaluation metrics.

Design, build, and maintain scalable distributed data pipelines and a secure data lakehouse for streaming and batch processing to support real-time analytics, ML, and experimentation. Automate, test, and harden workflows, architect logical and physical data models, build ML model features, and collaborate with product, analytics, and data science teams to turn data into value.

Design and build end-to-end, enterprise-grade systems that enable AI agents to initiate and complete finance workflows. Own features across backend and frontend, integrate AI/ML models into auditable production systems, ensure scale, security, and reliability, and collaborate with product and customers to solve accounting problems.