Top Azure Jobs in Calgary

Owns GitLab’s enterprise pricing, packaging, monetization, and commercialization strategy. Develops pricing programs, enterprise agreements, bundling, channel and cloud marketplace structures, discounting frameworks, and competitive deal plays. Partners with Product, Sales, Finance, Marketing, Deal Desk, Revenue Operations, and partners to implement scalable commercial programs. Creates pricing enablement materials, makes data-backed recommendations, influences senior stakeholders, and documents decisions in an asynchronous, globally distributed environment.

Designs, develops, and deploys scalable deep learning systems for 3D medical image segmentation, geometric analysis, and physiological prediction. The role involves writing tested Python or C++ code, owning end-to-end ML workflows, applying biomedical data expertise, integrating models into software products, and mentoring junior engineers. Collaboration with scientists, product leaders, and architects is required. Preferred experience includes cloud platforms and MLOps tools such as Docker, Kubernetes, MLflow, and CI/CD.

Leads consultative sales of Microsoft AI Workforce solutions to Public Sector organizations across Western Canada. Builds customer relationships, develops ROI and business-value cases, drives AI adoption, and orchestrates end-to-end opportunities with technical teams, partners, and customer-success stakeholders. Manages pipelines and account plans while identifying cross-sell, upsell, and co-sell opportunities involving Microsoft 365 Copilot, Copilot Studio, Azure Virtual Desktop, Windows 365, and related solutions.

Develop, test, deploy, and maintain scalable full-stack software using the MEAN stack. Contribute to system architecture, performance optimization, security, reliability, code reviews, and continuous process improvement. Collaborate with product managers, designers, and engineers to deliver user-focused features. Apply AI-assisted development tools, explore LLM integrations and automated testing, and mentor teammates on modern engineering practices.

Leads post-sales delivery and customer success for strategic enterprise accounts using Microsoft cloud products and services. Builds customer relationships, aligns success plans with account priorities, coordinates Microsoft and partner resources, manages program reviews, tracks product adoption and consumption milestones, and identifies retention risks. The role requires technical expertise, business acumen, delivery management, and customer-facing consulting skills, with responsibility for helping customers achieve strategic cloud transformation outcomes.

Leads institutional data governance, quality, management, and analytics initiatives. Responsibilities include data profiling, quality investigations, remediation, metadata and glossary management, mastering, governance controls, stakeholder requirements, Ataccama One support, dashboards, reporting, risk analysis, and data literacy. The role collaborates with data stewards, trustees, engineers, and business stakeholders to establish standards, resolve data issues, improve governance processes, and ensure accurate, compliant, decision-ready data.

Leads enterprise architecture strategy for AI, data platforms, analytics, and governance. Designs scalable lakehouse, AI/ML, streaming, integration, BI, and data governance solutions using cloud technologies. Establishes architecture standards, leads reviews and transformation initiatives, guides build-versus-buy decisions, and ensures security and compliance alignment. Partners with executives and cross-functional technology teams, mentors architects, and drives standardization, innovation, performance, and solution quality across AI and data ecosystems.

Lead complex Microsoft Dynamics 365 Finance & Operations and ERP implementations by defining solution architecture, overseeing design and implementation, supporting technical and functional architects, facilitating business workshops, advising clients, contributing to presales and demos, and developing strategic business application solutions. The role also requires stakeholder communication, organizational change management, Agile/Scrum experience, and collaboration across consulting and technology teams.

Leads enterprise architecture strategy for AI, data platforms, analytics, and governance. Designs scalable lakehouse, AI/ML, streaming, integration, and BI ecosystems across cloud platforms. Establishes architecture standards, governance, security, and compliance practices; guides technology investments and transformation initiatives. Partners with executives and cross-functional engineering, data science, BI, and platform teams, while mentoring architects and driving standardization, innovation, performance, and solution quality.

Build and improve MongoDB’s distributed networking and observability systems. Responsibilities include enhancing networking performance, availability, scalability, resource efficiency, and low-overhead observability; leading medium-sized projects from technical design through delivery; collaborating across the project lifecycle; contributing production C++ code; and participating in code reviews and feature design.

The Site Reliability Engineer will manage cloud infrastructure, automate tasks, collaborate in agile teams, and ensure service reliability and quality.

Conduct third-party security assessments, evaluate vendor controls, document risk findings, automate GRC workflows with Python and agentic coding tools, maintain integrations across ticketing and risk platforms, and develop dashboards and reporting. Partner with Procurement, Legal, Engineering, IT, Compliance, and Privacy to support risk-informed decisions and mature security governance processes.

Manage and scale Enverus' global AWS infrastructure, automate deployments and CI/CD, ensure high uptime, collaborate with developers to enable zero-downtime releases, participate in on-call rotations, and improve operational practices.

Design, build, and maintain SparkSQL/PySpark data pipelines in the central data lake to ingest IoT, product, and unstructured data (video/audio). Produce reliable computed tables for analytics, model training, and dashboards; integrate external datasets; ensure high data quality and uptime; and collaborate with Data Science, ML, and cross-functional teams.

Design, build, and operate large-scale Spark/PySpark data pipelines and the enterprise data platform. Implement data integrations, transformations (Python/SQL), monitoring, and data quality. Build MCP servers and AI-enabled tooling, optimize performance, mentor engineers, and lead cross-functional data projects to enable analytics and automation.

Build and ship production-grade agentic AI workflows across Acquia’s digital experience platform. Design stateful multi-agent systems using LangGraph, Temporal, and Pydantic; own LangFuse observability, evaluation, and benchmarking; establish standards for RAG, prompting, context optimization, and tool calling; partner on secure, reliable enterprise architectures; evaluate AI tooling; mentor engineers; and support customer architecture and roadmap discussions.

Design, deploy, and operate enterprise network infrastructure across data centers and cloud (GCP, AWS, Azure). Manage VPCs, VPNs, BGP, F5 BIG-IP, hybrid connectivity, and observability. Build IaC and automation with Terraform, GitLab CI/CD, and Ansible. Maintain monitoring, documentation, and participate in on-call support for critical incidents.

Leads secure software architecture and development for scalable, cloud-native enterprise systems. Designs application security controls, frameworks, and threat-modeling practices; establishes coding and testing standards; oversees DevOps, monitoring, telemetry, and defect management. The role also provides technical direction for AI security initiatives, translates business requirements into secure solutions, and collaborates with cross-functional stakeholders to improve system resilience and data protection.

Senior Full Stack Software Engineer responsible for building and owning scalable cybersecurity product experiences across front-end and back-end systems. The role uses TypeScript, Golang, React, Node.js, Kubernetes, cloud platforms, databases, APIs, and CI/CD pipelines. Responsibilities include architecture, performance optimization, security, mentoring engineers, leading projects, Agile planning, and adopting AI-assisted development tools.

Leads enterprise solution sales for Azure Databricks, advising executives, customers, partners, and technical teams on cloud, data, AI, and modernization strategies. Drives complex sales opportunities, usage targets, proof-of-concepts, solution demonstrations, competitive strategies, partner engagement, and deployment success. Acts as a subject matter expert and influences Microsoft go-to-market and product strategies.

Manage and grow a portfolio of cloud technology customers across North America. Responsibilities include customer retention, relationship management, support escalation resolution, long-term commitment negotiations, identifying cloud workload and cost optimization opportunities, quarterly business reviews, vendor collaboration, and communicating customer feedback to engineering and product teams.

Design, build, and operate Supabase’s global edge and networking infrastructure, including routing, load balancing, DNS, WAF, TLS termination, CDN integrations, and observability. Improve latency, reliability, security, and cost efficiency across cloud regions. The role includes developing automated routing systems and CI/CD, troubleshooting distributed systems, participating in on-call and incident response, and collaborating with infrastructure and product teams.

Designs, deploys, supports, and continuously improves modern digital services across multiple projects. Responsibilities include automation, CI/CD pipelines, cloud infrastructure, Infrastructure as Code, production operations, observability, security, scripting, troubleshooting, deployment optimization, and technical documentation. The role is primarily remote in Canada with occasional meetings or work sessions in Edmonton.

Designs and maintains scalable backend services and APIs, develops customer-driven features, resolves complex production issues, and improves system performance, reliability, and scalability. The role contributes to architecture, cloud solutions, databases, high-volume data processing, CI/CD, testing, and Agile practices while collaborating with Product, Sales, Engineering, Customer Success, and customers.

Develop and maintain cloud platform integrations, APIs, backend services, and scalable software components for cardiovascular imaging products. The role supports NLP, conversational interfaces, agentic AI, platform integration, security, testing, observability, deployment, and production support. Responsibilities include translating product requirements into technical solutions, collaborating with cross-functional teams, conducting code reviews, troubleshooting, and improving development practices.