Summary
✨ AI‑Generated
A 12-month engineering role based in Montreal requires an onsite presence three days per week after onboarding. The position focuses on designing and operating enterprise-scale Azure and AWS environments, Kubernetes platforms, Terraform automation, cloud security, enterprise networking, and AI agents and autonomous workflows. Candidates need at least 5 years of overall IT industry experience.
Highlights
A 12-month engineering engagement combining multi-cloud infrastructure, cloud security, Kubernetes automation, and emerging AI capabilities. The role includes collaboration with global and cross-functional teams and hands-on work with enterprise-scale cloud and AI platforms.
Description
Summary
Duration: 12 monthsLocation: MontrealWork Mode: Day 1 onboarding onsite/in office presence 3x/week
Responsibilities
Design, build, and maintain enterprise-scale multi-cloud infrastructure across Azure and AWS.Enable cloud-native AI solutions and agentic AI platforms.Ensure cloud security controls, enterprise networking, Kubernetes, and Terraform automation pipelines are in place.Collaborate with global teams to connect complex applications from on-premises to public cloud platforms.Partner with product management, platform engineering, security, networking, vendors, and application development teams.Develop, maintain, and enhance reusable Terraform modules and cloud infrastructure blueprints.Implement and manage Kubernetes platforms including AKS and EKS.Deploy, secure, and operate Azure and AWS services.Design, develop, and deploy AI agents and autonomous workflows using modern AI frameworks.
Requirements
Minimum 5 years of overall IT industry experience with a strong hands-on engineering background in cloud infrastructure, platform engineering, or DevOps.Minimum 3 years of experience in cloud technologies across Azure and AWS.Strong knowledge of Azure and AWS Landing Zone architecture and cloud security controls.Hands-on experience with Terraform, GitHub, GitHub Actions, and CI/CD automation.Practical experience with Kubernetes, containerized workloads, AKS, and EKS.Strong Python programming skills for automation and AI application development.Solid understanding of on-premises to cloud connectivity.Hands-on experience with core Azure and AWS services.Deep understanding of enterprise networking, identity, access management, observability, and security patterns.Strong understanding of LLM fundamentals and generative AI concepts.
Preferred Skills
Experience deploying applications using resilient, highly available, multi-region architectures.Experience with Azure AI Foundry, Azure OpenAI, AWS Bedrock, or similar platforms.Experience building AI copilots, intelligent assistants, or AI-powered self-service platforms.Familiarity with Model Context Protocol (MCP), AI gateways, vector databases, and semantic search.Valid Azure and/or AWS certifications beyond fundamentals.Experience working in financial services or large-scale enterprise technology organizations.
This role is for an existing vacancy.
