Top Azure Jobs in Calgary

Build and operate high-throughput backend services powering AI agent orchestration, connector integrations, and real-time data pipelines. Design core platform services, infrastructure-as-code, CI/CD, and scalable APIs. Collaborate with ML, frontend, and product teams to ship AI-powered features, mentor junior engineers, and maintain high availability for consumer and enterprise customers.

Leads architecture for Fortive’s HR technology ecosystem, including Oracle HCM, Boomi, ServiceNow HRSD, Eightfold, LMS platforms, and enterprise integrations. Defines API-first integration strategies, data governance, security standards, and modernization roadmaps. Designs and deploys AI, automation, NLP, and chatbot capabilities for HR workflows. Advises HR and IT stakeholders, guides vendors and technical teams, and mentors integration developers while ensuring compliance, data quality, and scalable platform architecture.

Own the technical sales motion for NVIDIA-focused enterprise AI infrastructure deals. Lead discovery, architecture, proof-of-concept design and execution, technical closes, partner and field SE enablement, troubleshooting, escalation, customer workshops, and product feedback. The role requires expertise in NVIDIA systems, storage, data platforms, Linux, parallel file environments, GPU clusters, and AI pipelines, with Bay Area availability for on-site partner or customer sessions.

Leads enterprise security architecture across cloud, identity, networks, applications, and data. Develops security roadmaps, reference architectures, controls, and standards; conducts threat modeling and architectural risk assessments; ensures regulatory alignment; advises technology and business leaders; evaluates security technologies; leads architecture reviews; and mentors security and engineering teams.

Designs and improves large-scale data processing systems and GCP workflows using Dataflow, BigQuery, Pub/Sub, GKE, and Airflow. Evaluates technologies, establishes engineering standards, leads cross-functional data projects, develops data abstractions with Data Science, mentors engineers, and supports evolving data products.

Leads the UK&I Data Engineering team, setting technical strategy and overseeing delivery of data products, ingestion pipelines, reporting solutions, and customer-facing capabilities. Drives Azure and Databricks cloud modernization, data governance, security, privacy, compliance, and AI adoption. Responsibilities include team leadership, talent development, workforce planning, cross-functional stakeholder management, and collaboration with global engineering, product, analytics, architecture, and operations teams.

Consultative Sales Engineer responsible for driving complex sales opportunities, designing cloud data security and data risk management solutions, delivering proof-of-value engagements and technical demonstrations, advising executive stakeholders, supporting partner channels, and coordinating cross-functional resources. The role requires cloud security, IAM, networking, databases, encryption, privacy, data governance, and strong technical communication skills.

Lead architecture and delivery of a composable, API-first Core Commerce Platform powering checkout, payments, OMS, inventory availability, loyalty, and post-order experiences. Drive integration of packaged solutions (SFCC, Fluent Commerce), payments, social and agentic commerce, and AI-native capabilities. Own SLAs, reliability, security (PCI-DSS), roadmap, and engineering standards while building and leading high-performing, on-site platform teams.

Lead and grow a solution engineering team for AI-powered Dynamics 365 business solutions. Own technical win strategy, coach demos and solution design, partner with sales to convert pipeline, enable value assessments, manage proposals, and align with partners and Customer Success to achieve revenue and deployment outcomes.

Design and develop scalable, secure frontend web applications for connected embedded systems. Lead frontend architecture, collaborate with backend/embedded teams, implement device provisioning, telemetry visualization, and remote management UIs. Optimize performance, accessibility, and maintainability; mentor engineers, participate in reviews, and drive frontend best practices.

Design, develop, test, and maintain scalable Java backend applications using Spring and Spring Boot. Build RESTful APIs and microservices, integrate external systems, optimize performance and reliability, and implement security and data protection. Collaborate with cross-functional teams, conduct code reviews, mentor junior developers, and contribute to Agile practices. Develop unit and integration tests, maintain CI/CD pipelines, and support DevOps deployment and monitoring activities.

Build and ship full-stack features for a real-time collaborative content platform, spanning backend services, APIs, and frontend systems. Contribute to architecture and technical design, write tested and maintainable code, collaborate with product and design, integrate AI tools and capabilities, participate in code reviews, and help shape an early-stage product.

Designs, builds, and evaluates language models for AI security products. Responsibilities include dataset curation, preprocessing, LLM experimentation, safety and robustness evaluation, dashboards, knowledge graphs, model fine-tuning, production integration, monitoring, CI/CD, and ML tooling. Collaborates with researchers and data scientists to automate quality assurance and guardrails while delivering reliable, scalable, and interpretable models.

Build and maintain consumer-facing full-stack products, with a primary focus on React-based frontend development and a secondary focus on backend services. Develop reusable UI components, APIs, microservice integrations, and cloud infrastructure using technologies including JavaScript, Node.js, Golang, GCP, GraphQL, PostgreSQL, Spanner, and BigQuery. Collaborate with product and design teams, uphold architecture and code quality standards, deploy solutions through CI/CD, and mentor other engineers.

Build turbopuffer’s partner program from scratch, including partner strategy, cloud-provider relationships, marketplace listings, integrations, co-selling motions, joint accounts, and revenue generation. Negotiate alliance deals, engage systems integrators, translate partner needs to engineering, and develop repeatable marketplace and sales processes. The role requires technical fluency, independent execution, strong writing, and experience building trust across organizations.

Build and refine AI-powered prototypes for supply chain and manufacturing operations. Engage with factory and warehouse teams, translate operational needs into software requirements, develop Python-based RAG and agentic systems, integrate APIs and data sources, and iterate prototypes based on frontline feedback. The role involves SQL and document data preparation, agile collaboration, occasional manufacturing-site travel, and progressive adoption of enterprise AI frameworks and production engineering practices.

Architect and build AI-enabled cloud infrastructure for agentic AI platforms, primarily on AWS with Azure as a secondary platform. Responsibilities include cloud account and environment design, SDN micro-segmentation to isolate rogue agents, centralized policy and control planes governing agent access and actions, and Infrastructure-as-Code automation using OpenTofu, Terramate, Ansible, and GitHub Actions.

Lead architecture and technical direction across product and platform teams. Design scalable, reliable cloud systems, establish engineering standards, solve complex modernization and distributed-systems challenges, support FedRAMP readiness, and mentor engineers. Guide multi-region deployments, disaster recovery, observability, data migrations, performance tuning, and production incident resolution while influencing roadmaps and driving cross-team execution.

Designs and operates scalable security logging infrastructure, data lakes, ingestion pipelines, and multi-tier storage for enterprise-scale observability. Responsibilities include architecting ELK and OpenSearch environments, optimizing ingestion and queries, implementing infrastructure as code, developing APIs and integrations, managing retention and costs, capacity planning, and supporting disaster recovery. The role partners with security leadership on platform strategy and mentors engineers while enabling analytics and detection engineering across cloud environments.

Design and lead scalable data engineering solutions using Databricks and Azure. Establish enterprise data modeling and engineering standards, architect pipelines and integrations, improve platform reliability and performance, guide modernization and cloud migrations, troubleshoot complex issues, and mentor data engineers while ensuring security, quality, and governance.

Design, develop, and maintain scalable data pipelines, models, ingestion, transformation, and integration solutions using Databricks and Microsoft Azure. Troubleshoot performance and data quality issues, optimize workflows, support migrations and modernization, and collaborate with architecture and engineering teams. Translate business requirements into technical solutions while following security, governance, quality, and engineering best practices.

Build and operate secure, scalable, observable infrastructure for AI platforms, web applications, APIs, backend services, and shared platforms across Azure and OCI. Manage Kubernetes environments, cloud networking, CI/CD pipelines, infrastructure automation, databases, caches, queues, monitoring, incident response, reliability, and cost optimization. Translate technical designs into production-ready infrastructure and create reusable platform patterns. Collaborate with AI, application, and architecture teams while troubleshooting across application and infrastructure boundaries.

Build highly available, scalable distributed systems and real-time data services supporting Internet-wide scanning, DNS resolution, certificate ingestion, security research, and customer applications. Responsibilities include developing data pipelines, messaging systems, databases, caching layers, tooling, frameworks, and cloud or on-premises services; productionizing prototypes; and collaborating with engineering, product, machine learning, and security teams. The role emphasizes maintainable, testable code, reliability, monitoring, and long-term platform development.

Build highly available, scalable distributed systems and real-time services supporting Internet-wide scanning, DNS resolution, certificate ingestion, data pipelines, messaging, databases, caching, and APIs. Productionize prototypes, develop reusable tooling and platform capabilities, maintain cloud and on-premise systems, and collaborate with engineering, product, machine learning, and security teams.

Own go-to-market for Upbound’s AI inference portfolio, including positioning, messaging, competitive strategy, launches, enterprise buyer research, sales enablement, pricing input, and open-source-to-commercial narratives. The role requires customer-facing thought leadership through analyst briefings, executive preparation, public speaking, podcasts, and community engagement. Success requires deep B2B infrastructure product marketing experience, technical fluency, open-core experience, and the ability to launch emerging products rapidly.