- Salary
- $85 – $100
- Location
- Toronto
- Workplace
- Hybrid, Onsite
- Type
- Contract
- Department
- Engineering
- Source
- PCRecruiter
Description
Sr Platform Engineer - Cloud #106252
Request ID: 106252-1
Start/End Dates: 8/31/2026 - 2/27/2027
Work Location: downtown Toronto, near TTC and GO
Job Title: IT - Specialty Developer - Senior
Job Title: Platform Engineer - Senior
Line of Business: Technology Infrastructure / Cloud Platform Engineering
What does the LOB do?: The team builds, enhances, and supports enterprise cloud platform capabilities in Azure. They provide reusable platform services, infrastructure automation, CI/CD enablement, containerized application support, observability tooling, and cloud-native engineering solutions that enable development teams across the bank
Target Start Date: ASAP - by Sept 28th
Duration: 6 months
Target rate range: $85-100hr B2B
Potential for this contract to be extended or converted to FTE? Extension: Yes / Conversion: YES FTE is the goal
Hybrid: 1 days per week in office. Wednesday, plus 1st Friday of each month
Office Location: 81 Bay Street Toronto
Work Schedule (hours per week, start time): 9-5/ 37.5 hours
Potential for OT? No
Reason the role is open?: Net new contingent resource required to support ongoing cloud platform engineering initiatives and increased demand for scalable, secure, and automated Azure platform capabilities
What project will this contractor be working on?: The contractor will support the design, build, and enhancement of Azure-based platform services, focusing on infrastructure automation, Kubernetes platforms, CI/CD modernization, observability improvements, and cloud-native application enablement, including support for emerging AI and GenAI use cases.
Highlights of the role; why would someone choose this role over another?
Opportunity to build enterprise-scale Azure cloud platforms.
Exposure to modern cloud-native technologies including Kubernetes, Terraform, DevOps, APIs, and microservices.
Ability to contribute to emerging AI, GenAI, and RAG platform initiatives.
Collaborative environment with strong exposure to architecture, security, and engineering stakeholders.
Opportunity to create reusable platform capabilities impacting multiple teams across the organization.
Who Will the Candidate Be Working with on a Daily Basis? Platform Engineers, Software Engineers, Cloud Architects, Security Teams, DevOps Teams, and Delivery Partners, ML Engineers
Team (# of members, culture, etc): 15
How many years of experience? 8+ years of platform engineering
Job Description:
The Senior Platform Engineer will be responsible for designing, building, and supporting reusable cloud platform capabilities in Azure. This role focuses on enabling cloud-native applications, APIs, microservices, and emerging AI workloads through infrastructure automation, platform standardization, and engineering best practices.
The successful candidate will have strong experience with Azure, Terraform, Kubernetes, Docker, CI/CD pipelines, Python scripting, observability, and secure platform design. They will partner closely with engineering, architecture, security, and delivery teams to create scalable, resilient, and automated platform solutions while continuously improving deployment and operational processes.
Must Have Requirement:
8+ Years total experience
Platform Engineering, Cloud Engineering, DevOps, or Infrastructure Engineering.
Designing and supporting Azure cloud environments.
Infrastructure-as-Code using Terraform.
Kubernetes and Docker container platforms.
CI/CD pipeline development and optimization.
Automation scripting using Python.
Cloud platform operations, scalability, resiliency, and security.
Monitoring, logging, and observability solutions.
Authentication, authorization, and access control implementation.
Nice to Have:
Experience supporting GenAI, AI/ML, or RAG platforms.
Azure API Management (APIM).
Bash scripting.
Databricks.
Experience building reusable enterprise platform services.
Financial services or banking experience.
Soft Skills:
Strong communication and stakeholder management skills.
Excellent collaboration across engineering, architecture, and security teams.
Problem-solving and troubleshooting mindset.
Ability to work independently in a fast-paced environment.
Continuous improvement mentality.
Strong documentation and knowledge-sharing skills
Disqualifiers:
No hands-on Azure experience.
No Terraform/IaC experience.
No Kubernetes or containerization experience.
Limited CI/CD automation experience.
Primarily support-focused background with little platform engineering experience.
Lack of experience building scalable cloud infrastructure solutions.
NOTE
Close on August 31 at 11AM
G.G. Consulting Group uses advanced ATS systems to track and manage candidates and jobs. We do not use AI tools for candidate screening.
Request ID: 106252-1
Start/End Dates: 8/31/2026 - 2/27/2027
Work Location: downtown Toronto, near TTC and GO
Job Title: IT - Specialty Developer - Senior
Job Title: Platform Engineer - Senior
Line of Business: Technology Infrastructure / Cloud Platform Engineering
What does the LOB do?: The team builds, enhances, and supports enterprise cloud platform capabilities in Azure. They provide reusable platform services, infrastructure automation, CI/CD enablement, containerized application support, observability tooling, and cloud-native engineering solutions that enable development teams across the bank
Target Start Date: ASAP - by Sept 28th
Duration: 6 months
Target rate range: $85-100hr B2B
Potential for this contract to be extended or converted to FTE? Extension: Yes / Conversion: YES FTE is the goal
Hybrid: 1 days per week in office. Wednesday, plus 1st Friday of each month
Office Location: 81 Bay Street Toronto
Work Schedule (hours per week, start time): 9-5/ 37.5 hours
Potential for OT? No
Reason the role is open?: Net new contingent resource required to support ongoing cloud platform engineering initiatives and increased demand for scalable, secure, and automated Azure platform capabilities
What project will this contractor be working on?: The contractor will support the design, build, and enhancement of Azure-based platform services, focusing on infrastructure automation, Kubernetes platforms, CI/CD modernization, observability improvements, and cloud-native application enablement, including support for emerging AI and GenAI use cases.
Highlights of the role; why would someone choose this role over another?
Opportunity to build enterprise-scale Azure cloud platforms.
Exposure to modern cloud-native technologies including Kubernetes, Terraform, DevOps, APIs, and microservices.
Ability to contribute to emerging AI, GenAI, and RAG platform initiatives.
Collaborative environment with strong exposure to architecture, security, and engineering stakeholders.
Opportunity to create reusable platform capabilities impacting multiple teams across the organization.
Who Will the Candidate Be Working with on a Daily Basis? Platform Engineers, Software Engineers, Cloud Architects, Security Teams, DevOps Teams, and Delivery Partners, ML Engineers
Team (# of members, culture, etc): 15
How many years of experience? 8+ years of platform engineering
Job Description:
The Senior Platform Engineer will be responsible for designing, building, and supporting reusable cloud platform capabilities in Azure. This role focuses on enabling cloud-native applications, APIs, microservices, and emerging AI workloads through infrastructure automation, platform standardization, and engineering best practices.
The successful candidate will have strong experience with Azure, Terraform, Kubernetes, Docker, CI/CD pipelines, Python scripting, observability, and secure platform design. They will partner closely with engineering, architecture, security, and delivery teams to create scalable, resilient, and automated platform solutions while continuously improving deployment and operational processes.
Must Have Requirement:
8+ Years total experience
Platform Engineering, Cloud Engineering, DevOps, or Infrastructure Engineering.
Designing and supporting Azure cloud environments.
Infrastructure-as-Code using Terraform.
Kubernetes and Docker container platforms.
CI/CD pipeline development and optimization.
Automation scripting using Python.
Cloud platform operations, scalability, resiliency, and security.
Monitoring, logging, and observability solutions.
Authentication, authorization, and access control implementation.
Nice to Have:
Experience supporting GenAI, AI/ML, or RAG platforms.
Azure API Management (APIM).
Bash scripting.
Databricks.
Experience building reusable enterprise platform services.
Financial services or banking experience.
Soft Skills:
Strong communication and stakeholder management skills.
Excellent collaboration across engineering, architecture, and security teams.
Problem-solving and troubleshooting mindset.
Ability to work independently in a fast-paced environment.
Continuous improvement mentality.
Strong documentation and knowledge-sharing skills
Disqualifiers:
No hands-on Azure experience.
No Terraform/IaC experience.
No Kubernetes or containerization experience.
Limited CI/CD automation experience.
Primarily support-focused background with little platform engineering experience.
Lack of experience building scalable cloud infrastructure solutions.
NOTE
Close on August 31 at 11AM
G.G. Consulting Group uses advanced ATS systems to track and manage candidates and jobs. We do not use AI tools for candidate screening.
Skills
PythonAzureDockerKubernetesTerraformCI/CDDatabricksDevOpsMicroservices
