Top Azure Jobs in Calgary

Develop and support enterprise business applications across SharePoint, Microsoft 365, Power Platform, Azure, SQL Server, and integrations. Responsibilities include building applications, workflows, reports, APIs, databases, and cloud solutions; troubleshooting business-critical systems; supporting governance, security, ALM, testing, documentation, and deployments; and collaborating with stakeholders, architects, vendors, and technical teams.

Manages the full lifecycle of enterprise legal applications, including administration, architecture, integrations, automation, upgrades, security, troubleshooting, and performance optimization. Partners with business stakeholders, vendors, and technical teams to implement solutions, oversee projects, maintain compliance, and support systems such as iManage, Intapp, records management platforms, and Microsoft environments. Develops integrations and data flows, manages security controls and ethical walls, conducts testing, maintains technical documentation, and delivers training.

Operate and maintain highly available, secure, containerized SaaS applications across AWS and Azure. Responsibilities include rotating 24x7 on-call coverage, observability, incident and security response, disaster recovery, Terraform infrastructure-as-code, CI/CD automation, cloud integration, performance optimization, and developing AI agents to automate SRE and DevSecOps workflows.

As a Senior Solutions Engineer, you will engage in pre-sales conversations, design architecture, and deliver demos to help customers integrate LanceDB's AI solutions.

Designs and scales distributed platform services, APIs, microservices, and React applications for healthcare technology platforms. Owns architecture, reliability, performance, testing, CI/CD, observability, infrastructure, and production support. Partners with product and clinical teams, mentors engineers, leads technical decisions, and uses AI-augmented development tools. Requires extensive software engineering experience with cloud-native systems, databases, REST APIs, frontend frameworks, and scalable SaaS platforms.

Architects and develops scalable Java and Spring Boot web applications, RESTful APIs, and database-backed systems. Leads software delivery, testing, code reviews, automation, troubleshooting, security remediation, telemetry, production incident response, and root-cause resolution. Collaborates with stakeholders and cross-functional teams while modernizing application stacks. The role also supports cloud-native architecture, CI/CD, container orchestration, and AI-augmented development.

Architects, develops, tests, and optimizes scalable Java-based web applications using Spring Boot microservices and modern frontend frameworks. Leads software delivery across the full lifecycle, including API design, technical specification refinement, automation, performance optimization, test-driven development, code reviews, and troubleshooting. Collaborates with internal teams and external partners to deliver maintainable solutions, improve engineering workflows, and uphold modern architecture and development standards. The role is remote in Canada and requires working Eastern Time hours.

The role involves designing and developing high-performance web apps, improving user interfaces, maintaining component libraries, and ensuring code quality through comprehensive testing and collaboration with other teams.

Design, deploy, and maintain HPC and MLOps infrastructure across cloud and on-prem clusters. Manage schedulers (Slurm/PBS), optimize MPI/CUDA stacks, storage and networking, automate deployments with Python/Bash, instrument systems, and enable AI training/inference pipelines while collaborating with product and support teams.

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.

Designs and delivers complex cloud, data, and AI/ML systems. Responsibilities include building cloud-native microservices, serverless and containerized workloads; implementing infrastructure as code, CI/CD, monitoring, and observability; contributing to data platforms and MLOps; and integrating LLM capabilities. The role collaborates with engineering, data, AI, and product teams, documents architecture, participates in design reviews, establishes best practices, and mentors junior engineers.

Leads end-to-end architecture for complex cloud, data, and AI/ML systems. Defines technical strategy, designs scalable multi-cloud and hybrid solutions, establishes infrastructure-as-code and DevOps standards, drives migrations and modernization, and optimizes performance, cost, security, and reliability. Partners with clients and leadership, documents architecture, mentors engineers, evaluates emerging technologies, and serves as a technical escalation point for complex integration challenges.

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.

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.

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.

Build and maintain Safari AI’s cloud infrastructure, including production services, system design, reliability, documentation, and security compliance. The role sets technical direction for the cloud stack, collaborates with engineering and operations teams, improves development processes, and delivers incremental features. Candidates should have 4–6 years of software engineering experience, public cloud expertise, and experience taking complex services from concept through production. Streaming processing and machine learning experience are advantageous.

Leads global infrastructure and platform operations across cloud, networking, identity, endpoints, hosting, security, and IT service management. Establishes objectives, budgets, KPIs, governance, and operational improvements while managing complex migrations, modernization, resilience, compliance, suppliers, and cross-regional technical teams. Partners with senior leadership and stakeholders to address risks, deliver infrastructure projects, optimize costs, and ensure reliable, secure, supportable services.

Design and build real-time, highly concurrent software and cloud-native systems for an AI-powered emergency communications platform. Integrate and deploy LLMs, optimize voice and audio-processing pipelines, and support speech recognition, synthesis, detection, and filtering. Contribute to infrastructure, observability, security, scalability, and fault tolerance. Provide technical leadership through architecture decisions, code reviews, mentoring, and engineering best practices.

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.

Diriger des enquêtes de cyberdéfense de la détection à la remédiation, mener des chasses aux menaces et concevoir des règles, tableaux de bord et playbooks. Étendre la couverture aux environnements Azure, GCP, Microsoft 365, conteneurs, pipelines CI/CD et applications cloud. Collaborer avec DevOps et l’ingénierie, participer aux exercices Purple et Red Team, exploiter le renseignement sur les menaces et évaluer des outils d’IA/ML pour améliorer la détection et le triage.

Leads cyber defense investigations from triage through remediation, conducts threat hunting, and develops detections, dashboards, playbooks, and SIEM/SOAR workflows. Secures Azure, GCP, Microsoft 365, endpoints, containers, CI/CD pipelines, and cloud-native applications. Partners with engineering teams, consumes threat intelligence, supports purple-team exercises, validates red-team coverage, and evaluates AI/ML tools for detection and alert triage.

Leads data engineering consulting engagements, serving as a subject matter expert and data architect. Designs scalable data environments, models, pipelines, integrations, warehouses, and visualizations while ensuring quality and governance. Leads architectural decisions, project delivery, technology strategy, and AI-augmented development practices. Mentors technical teams, collaborates with data scientists, analysts, clients, and stakeholders, and drives process improvements and innovation. The remote role may require infrequent travel to the United States.

Design, build, operate, and maintain critical distributed systems powering Grafana Cloud Metrics and the open-source Mimir project. Drive projects from concept through production, improve reliability and performance, contribute to roadmap and design decisions, review code, support teammates, manage releases, and participate in follow-the-sun on-call rotations. Work with cloud infrastructure, microservices, observability systems, and large-scale telemetry databases while collaborating in a remote, open-source environment.