Senior Platform Engineer - IAC, Terraform, Kubernetes

Global Technical Talent, an Inc. 5000 Company; Toronto; Hybrid; CAD 124,000 - 138,000; Full time

Job summary

Global Technical Talent in Toronto, ON seeks a Senior Platform Engineer to design, build, and support reusable cloud platform capabilities in Azure, including automation for AI workloads and platform standardization.

The position requires strong Azure, Terraform, Kubernetes, and CI/CD experience, plus Python scripting and security focus. You will collaborate with multiple teams to deliver scalable, resilient platform solutions in a hybrid, onsite-friendly setup.

Qualifications

• Eight years of experience in platform/cloud/DevOps engineering.
• Designing and supporting Azure environments with IaC.
• Experience with Terraform, Kubernetes, and Docker in production.
• Strong CI/CD experience and automation scripting in Python.

Responsibilities

• Design, build, and support reusable cloud platform capabilities in Azure.
• Enable cloud-native apps, APIs, microservices, and AI workloads via automation.
• Enhance Azure-based platform services, including Kubernetes platforms and observability.
• Partner with engineering, architecture, security, and delivery teams to deliver scalable solutions.
• Continuously improve deployment and operational processes.
• Collaborate daily with Platform, DevOps, and ML engineers.

Skills

Azure cloud

Terraform IaC

Kubernetes

CI/CD pipelines

Python scripting

Observability

Security

Stakeholder management

Collaboration

Problem-solving

Documentation

Tools

Terraform

Kubernetes

Docker

CI/CD tooling

Job description

Location: Toronto, ON

Senior Platform Engineer - IAC, Terraform, Kubernetes

Location: Toronto, ON

Onsite Flexibility

Hybrid

Contract Details

• Position Type: Contract
• Contract Duration: 6 months
• Pay Rate: C$90.00–C$100.00 / Hour (CAD)
• Shift / Schedule: 37.5 Hours/week, 9–5 Monday to Friday

Job Summary

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.

Key Responsibilities

• Design, build, and support reusable cloud platform capabilities in Azure
• Enable cloud-native applications, APIs, microservices, and emerging AI workloads through infrastructure automation and platform standardization
• 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
• Partner closely with engineering, architecture, security, and delivery teams to create scalable, resilient, and automated platform solutions
• Continuously improve deployment and operational processes
• Work on a daily basis with Platform Engineers, Software Engineers, Cloud Architects, Security Teams, DevOps Teams, Delivery Partners, and ML Engineers

Required Skills

• 8 years total experience in 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
• 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

Preferred Skills

• 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

About the Client

This client is a large, full-service multinational financial institution offering a comprehensive range of banking, wealth management, and capital markets products and services to individuals, businesses, and institutional clients. The organization serves millions of clients across its home market and operates internationally, with significant commercial and investment banking presence in the United States and other global markets — making it one of the more prominent institutions in North American financial services. The institution employs a wide range of professionals including platform engineers, DevOps engineers, cloud architects, business analysts, and enterprise technology specialists who collaborate across agile, cross-functional teams in a structured, purpose-driven environment.

About GTT

GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada.

Job Number: 26-12376 Industry: Engineering

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