Cloud Architect

Clayco is a full-service, turnkey real estate development, master planning, architecture, engineering, and construction firm that safely delivers clients across North America the highest quality solutions on time, on budget, and above and beyond expectations. With $8.1 billion in revenue for 2025, Clayco specializes in the  art and science of building,  providing fast track, efficient solutions for mission critical, industrial, life sciences, power & energy, aviation, commercial, institutional, residential and sports & entertainment related building projects.

Cloud Engineering owns the day-to-day operation, evolution, and reliability of our cloud estate. The majority runs in Azure (application gateways, App Service Environments, storage, contains, Functions, VMs, and Azure SQL), with traditional lift-and-shift constructs still doing real work alongside more modern patterns. AWS is a meaningful and growing part of the picture too. This is the team that keeps that environment running well: provisioning, optimizing, troubleshooting, securing, and moving workloads onto code-defined patterns.

This role brings modern IaC, automation, and engineering discipline to the cloud estate directly, and helps raise the bar on what  production-ready  looks like here. his is an AI-forward position. Senior leadership is all-in on AI, and we want someone who genuinely uses it every day for code, troubleshooting, documentation, and reasoning. Not as a buzzword. As a daily multiplier.

• Design, provision, and operate production workloads across our Azure and AWS environments. Anticipate growth and establish infrastructure patterns that scale with the business.
• Own workload reliability and performance. Troubleshoot incidents, resolve underlying problems, and improve capacity, resilience, and supportability.
• Modernize existing workloads through practical, incremental improvements. Adopt containers, Kubernetes, and other modern hosting approaches where they improve reliability, portability, and operational efficiency.
• Manage infrastructure, configuration, and images as code. Build reusable automation, bring operational changes back into code, and use established delivery workflows in partnership with Platform Engineering.
• Own application traffic management and workload connectivity requirements, partnering with Network Engineering on the underlying connectivity and shared network services.
• Build security into workload design and operation through appropriate identity and access controls, secret management, network segmentation, hardened configurations, and policy enforcement.
• Build observability into everything you design and operate. Maintain dashboards, monitors, and service-level objectives as code, with actionable alerts that help on-call engineers identify and resolve problems quickly.
• Treat cost as an ongoing engineering responsibility. Improve visibility and allocation, right-size resources, tune scaling behavior, and eliminate unnecessary consumption.
• Design and build out high availability and disaster recovery capabilities. Evaluate and select same-provider and multi-cloud resiliency patterns based on workload criticality, recovery objectives, cost, and operational complexity. Establish documented, tested backup, failover, and recovery procedures.

• Use AI tools in daily engineering work and build AI-assisted operational automation where it provides measurable value. Reduce repetitive work in troubleshooting, incident triage, runbook execution, drift detection, and documentation while validating results and maintaining operational control.

• Cloud platforms: 7+ years of hands-on cloud experience, with strong Azure expertise and working…