DevOps Solution Architect

Our Client, the National leader in their industry, is seeking a talented DevOps Solution Architect to join their growing & innovative Team as they further embrace AI engineering and automation. This is a full time permanent opportunity based in the west-end Greater Toronto Area (GTA) requiring onsite participation in a hybrid model 3 days per week. We have worked extensively with this Client for 18+ years and have received excellent feedback from those candidates whom we have successfully placed. Please contact us to learn more. We are seeking a highly skilled DevOps Solution Architect to lead the design, automation, deployment, and operational excellence of modern enterprise platforms and software solutions. This role bridges software architecture, cloud infrastructure, DevOps engineering, and AI-enabled and human in the loop operational practices to ensure scalable, secure, and resilient delivery pipelines and production environments. The ideal candidate combines deep technical expertise and operational experience with mission critical, high availability applications. The candidate must embrace an AI-first mindset — leveraging AI-assisted development, automation, monitoring, troubleshooting, and optimization practices throughout the software delivery lifecycle. You will work closely with engineering, infrastructure, security, QA, and business stakeholders to architect and implement modern DevOps solutions that accelerate software delivery while improving reliability, observability, and operational efficiency. You will also proactively monitor the platform, triage application and system alerts, and coordinate incident response to ensure the stability and availability of critical services. Responsibilities: Design, develop, and maintain scalable, secure, and highly available cloud-native and hybrid infrastructure and DevOps architectures.Actively monitor the platform across environments and respond to any alerts using automation or manual procedures.Develop SOPs to handle common alerting scenarios in Production for other support teams to use after hours.Implement and evolve enterprise DevOps standards, CI/CD pipelines, Infrastructure-as-Code (IaC), automation frameworks, and operational best practices.Design and implement enterprise monitoring, logging, alerting, observability, and AI-enhanced operational intelligence solutions across infrastructure and applications.Establish operational health metrics, SLIs/SLOs, dashboards, and proactive monitoring strategies to ensure production reliability, performance, scalability, and rapid incident response.Collaborate with software development teams to align application architecture, deployment processes, infrastructure, security, and operational requirements throughout the software delivery lifecycle.Promote an AI-first engineering culture by leveraging AI-assisted automation, monitoring, diagnostics, security analysis, troubleshooting, and operational optimization capabilities.Ensure production readiness through resiliency testing, disaster recovery planning, security compliance, vulnerability management, secrets management, and operational automation.Drive continuous improvement initiatives through rapid prototyping, evaluation of emerging technologies, root cause analysis, and implementation of AI-powered solutions that improve platform reliability, deployment efficiency, and developer productivity. Requirements: 7+ years of experience in DevOps, cloud engineering, systems architecture, or related technical roles, including 3+ years in a Solution Architect or senior technical leadership role.5+ years of experience actively monitoring 7x24x365 mission critical applications and platforms ensuring 99.9% uptime.Deep understanding of software architecture, distributed systems, networking, security, scalability, resiliency, and production operations.Strong expertise designing, implementing, and maintaining CI/CD pipelines and DevOps automation using Azure DevOps and related technologies.Hands-on experience architecting and supporting enterprise cloud solutions within Microsoft Azure environments.Strong experience with Infrastructure-as-Code (IaC - ideally Terraform), automation frameworks, and container orchestration technologies including Kubernetes and Docker.Proven experience implementing enterprise monitoring, observability, logging, alerting, and operational support solutions for production systems and cloud platforms.Strong operational mindset with experience proactively monitoring application health, infrastructure performance, availability, certificate health, security compliance, and production reliability using automated and AI-assisted monitoring solutions.Experience managing enterprise certificate lifecycles including SSL/TLS certificate provisioning, renewal, automation, PKI, secrets management, and secure communication protocols.Strong software development and scripting experience with the ability to design, develop, and support automation tools, integrations, APIs, and operational platforms.Demonstrated ability to rapidly prototype, validate, and iterate on technical solutions while balancing speed, innovation, engineering discipline, and operational quality.Experience leveraging AI tools and AI-assisted practices for software delivery, infrastructure management, monitoring, troubleshooting, automation, and engineering productivity with an AI-first approach to problem solving.Excellent analytical, troubleshooting, communication, and collaboration skills with the ability to operate effectively in ambiguous environments and drive clarity through experimentation and continuous improvement. Total Direct Compensation (base salary + bonus): $135,000 - $160,000 CAD We wish to thank all applicants for their interest and effort in applying for this position. For a complete list of our current job openings, please visit our website at www.staffit.ca Thank you for choosing Staff IT as your Information Technology Staffing Partner.