As part of the IFS Copperleaf R&D we are building a next-generation Agentic AI Platform - an intelligent foundation that enables reasoning orchestration and automation across enterprise services. The Principal Platform Engineer will lead the modernization and evolution of our cloud infrastructure CI/CD pipelines and containerized environments in an Azure cloud-native infrastructure. This role establishes the technical backbone upon which our AI platform operates.
Key Responsibilities
- Design and implement scalable Azure infrastructure using Terraform Bicep and Kubernetes (AKS).
- Own CI/CD strategy and automation pipelines (Azure DevOps) for multi-environment deployments.
- Drive modernization of existing systems to cloud-native microservice architectures.
- Apply cloud-native observability frameworks including logging metrics and alerting (Azure Monitor Prometheus Grafana).
- Collaborate across engineering teams to establish secure automated deployment standards.
- Implement infrastructure governance security policies and cost optimization best practices.
- Enable platform scalability to support LLM-based agents orchestration services and future AI workloads.
- Mentor DevOps and software engineers promoting infrastructure-as-code and DevOps maturity across teams.
Qualifications :
- 5 years of experience in DevOps Platform or Cloud Engineering with a focus on Azure.
- Proficiency in Terraform Bicep Kubernetes and Azure DevOps.
- Strong knowledge of containerization service mesh (Istio/Linkerd) and infrastructure security.
- Experience automating builds releases and deployments for microservices and AI workloads.
- Solid understanding of CI/CD-as-code patterns and GitOps principles.
- Familiarity with AI/MLOps pipelines or distributed service orchestration is an asset.
- Excellent communication documentation and mentoring skills.
About You
- You think in systems and build platforms designed for scale security and reliability.
- You are deeply curious about AI systems and the intersection of identity access and automation.
- You collaborate across disciplines to accelerate innovation and platform adoption.
- You are proactive pragmatic and thrive in a fast-paced cloud-first environment.
Additional Information :
What Were Offering
- Salary Range: $160000 to $170000 CAD annually bonus
- Flexible paid time off including sick and holiday
- Medical dental & vision insurance
- RRSP with Company contribution
- Life insurance and disability benefits
- Tuition assistance
- Community involvement and volunteering events
We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles while also valuing inclusive workplace experiences. By fostering a sense of community we drive innovation strengthen connections and nurture belonging. Our commitment ensures you can work in a way that suits you best while also engaging with colleagues to share ideas and build meaningful relationships.
Remote Work :
No
Employment Type :
Full-time
As part of the IFS Copperleaf R&D we are building a next-generation Agentic AI Platform - an intelligent foundation that enables reasoning orchestration and automation across enterprise services. The Principal Platform Engineer will lead the modernization and evolution of our cloud infrastructure CI...
As part of the IFS Copperleaf R&D we are building a next-generation Agentic AI Platform - an intelligent foundation that enables reasoning orchestration and automation across enterprise services. The Principal Platform Engineer will lead the modernization and evolution of our cloud infrastructure CI/CD pipelines and containerized environments in an Azure cloud-native infrastructure. This role establishes the technical backbone upon which our AI platform operates.
Key Responsibilities
- Design and implement scalable Azure infrastructure using Terraform Bicep and Kubernetes (AKS).
- Own CI/CD strategy and automation pipelines (Azure DevOps) for multi-environment deployments.
- Drive modernization of existing systems to cloud-native microservice architectures.
- Apply cloud-native observability frameworks including logging metrics and alerting (Azure Monitor Prometheus Grafana).
- Collaborate across engineering teams to establish secure automated deployment standards.
- Implement infrastructure governance security policies and cost optimization best practices.
- Enable platform scalability to support LLM-based agents orchestration services and future AI workloads.
- Mentor DevOps and software engineers promoting infrastructure-as-code and DevOps maturity across teams.
Qualifications :
- 5 years of experience in DevOps Platform or Cloud Engineering with a focus on Azure.
- Proficiency in Terraform Bicep Kubernetes and Azure DevOps.
- Strong knowledge of containerization service mesh (Istio/Linkerd) and infrastructure security.
- Experience automating builds releases and deployments for microservices and AI workloads.
- Solid understanding of CI/CD-as-code patterns and GitOps principles.
- Familiarity with AI/MLOps pipelines or distributed service orchestration is an asset.
- Excellent communication documentation and mentoring skills.
About You
- You think in systems and build platforms designed for scale security and reliability.
- You are deeply curious about AI systems and the intersection of identity access and automation.
- You collaborate across disciplines to accelerate innovation and platform adoption.
- You are proactive pragmatic and thrive in a fast-paced cloud-first environment.
Additional Information :
What Were Offering
- Salary Range: $160000 to $170000 CAD annually bonus
- Flexible paid time off including sick and holiday
- Medical dental & vision insurance
- RRSP with Company contribution
- Life insurance and disability benefits
- Tuition assistance
- Community involvement and volunteering events
We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles while also valuing inclusive workplace experiences. By fostering a sense of community we drive innovation strengthen connections and nurture belonging. Our commitment ensures you can work in a way that suits you best while also engaging with colleagues to share ideas and build meaningful relationships.
Remote Work :
No
Employment Type :
Full-time
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