5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role
Roles remotos de Azure para candidatos en Canadá.
Revisa roles remotos de Azure que aceptan candidatos en Canadá.
Roles remotos de Azure en Canadá con elegibilidad clara
Esta página reúne roles remotos abiertos para candidatos en Canadá. Así evitas perder tiempo con posiciones que parecen remotas, pero restringen contratación por país, zona horaria, nómina o política interna.
Usa Azure como filtro de stack sin cambiar los nombres originales de los cargos, comparando seniority, países aceptados y preparación para aplicar.
- Confirma que tu país aparezca como ubicación aceptada antes de aplicar.
- Compara stack, seniority y flujo de aplicación.
- Crea alertas para seguir nuevos roles abiertos en Canadá.
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Roles filtrados
Security Software Engineer, Infrastructure Security (Staff or Senior)
MongoDB · Site Reliability Engineering
Design and build core security primitives and services that protect MongoDB Atlas compute, networking, and identity across AWS, Azure, and GCP
Senior React & Ruby Developer
Lemon.io · Development
The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.
Senior DevOps Engineer- AWS, Python
3Pillar Global · Developer
Code Review and Maintenance: Ability to look at code in their GitHub repos and provide maintenance on them.
DevOps Engineer
Bromcom Computers Plc · Developer
Design, deploy, and maintain Microsoft Azure resources and services
Engineer, Data
Ensemble Health Partners · Data Science
Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations.
Senior DevOps Engineer
8allocate · Developer
Designing and implementing standards for cloud-based infrastructure
Design, implement and review security solutions for Azure and M365 environments.
Oversee security across the entire infrastructure and codebase.
Software Engineer- Open Application
Janea Systems · Developer
Develop, optimize, and maintain backend applications for scalable platforms
Senior Machine Learning Engineer- Fully Remote!
KinderCare Education, LLC
Databricks-Native ML Development: Design, develop, and deploy machine learning solutions using Databricks technologies including PySpark, Spark SQL, MLflow, Feature Store, AutoML
Senior DevOps Engineer with German
Accesa & RaRo
3+ years of experience in DevOps, System Engineering, Application Operations, Linux Administration, or a similar role.
Senior Full Stack Engineer (Support & Observability Focus)
CoverGo · Developer
Triage and troubleshoot support issues, when required escalate to project or product engineering teams.
QA Automation Engineer (Triage & Document Center)
HeadSpin · Developer
Design, build, and maintain test automation frameworks from scratch across UI, API, and integration layers
Junior DevOps / Cloud Engineer
CloudCops
Bau und Pflege von CI/CD-Pipelines in GitHub Actions und / oder GitLab CI
Junior DevOps / Cloud Engineer
CloudCops
Bau und Pflege von CI/CD-Pipelines in GitHub Actions und / oder GitLab CI
Cloud Resiliency Engineer
Concentrix
Deep experience with high availability (HA) and disaster recovery (DR) design in Microsoft Azure.
Senior Site Reliability Engineer
Malvern Panalytical
Monitor the performance, availability, reliability, and overall health of Azure cloud applications and services using telemetry, metrics, logging, and observability tools• Proactively identify issues, risks
Site Reliability Engineer
Moniepoint · Developer
Participate in on-call rotations to detect and triage service and reliability issues across all environments.
Azure DevOps Engineer
Digital Forms
Experience with Azure Entra External ID.
Design, implement, and maintain cloud infrastructure on Azure
Junior DevOps / Cloud Engineer
CloudCops
Bau und Pflege von CI/CD-Pipelines in GitHub Actions und / oder GitLab CI
DevOps Engineer (gn) / full-remote
workidentity · Developer
Automatisierung & Betrieb: Unterstützung des Entwicklungsteams durch moderne Tools wie Bitbucket, CHEF, Azure, Grafana, Docker und Kubernetes
Lead the design and implementation of scalable ML systems, including supervised, unsupervised, and LLM-based solutions
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