Azure Serverless & API Engineer; APIM Focus

Azure Serverless & API Engineer (APIM Focus)

Location: Toronto (Hybrid – 2 days in office weekly)

Experience: 5–10 Years

• Drive adoption and implementation of API-first and event-driven architectures on Microsoft Azure.
• Deliver scalable, secure, and cloud-native solutions with minimal infrastructure dependencies.
• Provide strong hands-on expertise in Azure API Management (APIM), Azure Functions, and Azure Logic Apps.

• Azure API Management (APIM)
• Azure Functions
• Azure Logic Apps
• Terraform (Infrastructure as Code)
• Python
• Type Script
• Power Shell

• Design and implement serverless solutions using Azure Functions (HTTP triggers, Event Hub, Service Bus, Blob triggers, etc.).
• Develop and manage APIs using Azure API Management (APIM), including policies, authentication, subscriptions, and developer portal configurations.
• Build event-driven workflows using Azure Logic Apps, Event Grid, and Service Bus.
• Implement Infrastructure as Code (IaC) using Terraform (and where applicable ARM templates).
• Integrate applications with Azure security services including Azure Key Vault, Managed Identity, and Azure AD.
• Define and promote engineering best practices for serverless and API-first architecture.
• Collaborate with application, security, and platform engineering teams to build reusable patterns and accelerate delivery.

• 5+ years of hands-on experience with Azure APIM, Azure Functions, and Azure Logic Apps.
• Proven experience in building or implementing enterprise-grade solutions (not limited to support roles).
• Strong experience in REST APIs, JSON, OAuth2, and OpenID Connect.
• Experience with infrastructure setup or structured environment/platform support.
• Strong coding and automation skills, especially Python and Terraform.

• Direct development or implementation experience in enterprise environments (not just support).
• Strong understanding of API-first and event-driven architecture principles.
• Ability to work on end-to-end solution design and implementation for serverless platforms.