79421
Toronto
Contract
4 days ago
Role Title: Senior Platform Engineer
Any specific tools/skillset:
- Experience in managing Azure platforms/infrastructure development and deploy.
- Degree in computer science or equivalent training preferred.
- Proficient in Azure technologies such as Data Lake Gen 2, Storage Accounts, Event Hub, Kubernetes, Pipelines, Databricks, Data Factory, Function App, and tools like Terraform, Ansible, and Azure Monitor.
- Knowledge in Splunk and Control M tools integration and support.
- Programming skills in Python
- Deep knowledge of Azure infrastructure, including subnet management and security, is an advantage.
- Interpersonal skills: team spirit, customer-oriented, idea sharing, affinity with architecture, active listening, non-violent communication.
Role profile description:
- 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.
- Good experience ins Access provisioning, Azure AD groups 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.
- Setup CI/CD pipeline in On-Prem and Cloud platforms in Azure.
- Automate infrastructure provisioning using Terraform/ARM Template/Bicep or Ansible.
- Experience working with Azure SDK
- Good Knowledge on Azure PaaS, SaaS, and IaaS offerings
- Good Knowledge on Azure Security
- Ability to troubleshoot Azure DNS, Azure Connectivity, NSG, routing.
- Self motivated with a positive attitude and an ability to work independently and in a team.
- Passionate about Generative AI and Machine learning.
Tools and technologies required:
- Experience in managing Azure platforms/infrastructure development and deploy.
- Degree in computer science or equivalent training preferred.
- Proficient in Azure technologies such as Data Lake Gen 2, Storage Accounts, Event Hub, Kubernetes, Pipelines, Databricks, Data Factory, Function App, and tools like Terraform, Ansible, and Azure Monitor.
- Knowledge in Splunk and Control M tools integration and support.
- Programming skills in Python
- Deep knowledge of Azure infrastructure, including subnet management and security, is an advantage.
- Interpersonal skills: team spirit, customer-oriented, idea sharing, affinity with architecture, active listening, non-violent communication