Senior Platform Engineer with experience in managing Azure platforms/infrastructure and cloud automation tools for a large Insurance client.
S.i. Systèmes
Toronto, ON-
Nombre de poste(s) à combler : 1
- Salaire À discuter
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Emploi Contrat
- Publié le 15 novembre 2024
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Date d'entrée en fonction : 1 poste à combler dès que possible
Description
Senior Platform Engineer with experience in managing Azure platforms/infrastructure and cloud automation tools for a large Insurance client.
Duration:
Full-Time (Contract to Permanent after 900 hours - Roughly 6-Months)
Location:
Hybrid (3 days in office - Toronto, ON)
Responsibilities:
- Support with the design, build, and maintenance of cloud-based platform infrastructure systems like Azure.
- Ensure application performance, uptime, and scale, maintaining high standards for code quality and thoughtful design.
- Manage Azure AD groups, access provisioning, and identity management.
- Manage all cloud environments in accordance with company security guidelines.
- Participate in a 24/7 On-Call rotation to address and resolve technical escalations.
- Set up CI/CD pipelines in both On-Prem and Azure cloud platforms.
- Troubleshoot issues with Azure DNS, connectivity, NSG, and routing.
- Work with Azure SDK and leverage Azure PaaS, SaaS, and IaaS offerings.
- Contribute to the management and integration of tools like Splunk and Control M.
Must Have Requirements:
- Eligible or possess Protected - B Security Clearance
- 5+ years of experience in Azure platform management and infrastructure deployment
- Proficient in Azure technologies: Data Lake Gen 2, Storage Accounts, Event Hub, Kubernetes, Pipelines, Databricks, Data Factory, Function App
- Experience with cloud infrastructure automation tools: Terraform, Ansible, ARM Template, Bicep
- Strong experience with Azure monitoring and management tools: Azure Monitor, Azure SDK
- Knowledge of Azure Security best practices, including subnet management, DNS, NSG, routing
Nice to Have:
- Degree in Computer Science or equivalent training
- Knowledge of Splunk and Control M tools integration and support
- Familiarity with Azure PaaS, SaaS, and IaaS offerings
- Generative AI and Machine Learning
- Python Programming
Exigences
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