Technical Director – Cloud-Native, AI, DevOps

Valtech

. Define and lead the technical vision, architecture strategies and best practices for Cloud and DevOps projects .

Posted 10/6/2026contractRemote • CanadaLead💰 CA$90 - CA$98 per hourWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in Microsoft Azure and cloud-native architectures, with a strong focus on designing and implementing AI solutions and DevOps practices. Proven ability to lead multidisciplinary teams, manage executive-level stakeholders, and foster a culture of innovation and technical excellence.

Highest-signal resume keywords

Microsoft Azure ExpertiseAI Solutions ArchitectureDevOps Practices ImplementationTechnical LeadershipCloud-Native Architecture Design

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Cloud ArchitectureSoftware EngineeringAI-Based AutomationMicroservicesAPIsContainersNext.jsReactJavaScriptTypeScript

Soft Skills

Executive CommunicationMentoringCoachingStakeholder ManagementInnovation

Tools & Technologies

Azure DevOpsGitHubDockerKubernetesCI/CDInfrastructure as CodeObservability ToolsMonitoring ToolsAzure OpenAI ServiceAI Orchestration Frameworks

Certifications & Qualifications

Azure Solutions Architect ExpertAzure DevOps Engineer Expert

Industry Keywords

Cloud GovernanceSecurity ControlsOperational ExcellenceDigital TransformationSystems Integration

Tech Stack

Tools & technologies

AzureCloudDockerJavaScriptKubernetesMicroservicesNext.jsReactTypeScript

About the role

Key responsibilities & impact

Define and lead the technical vision, architecture strategies and best practices for Cloud and DevOps projects
Lead the design and implementation of large-scale cloud-native solutions on Microsoft Azure
Establish engineering standards, governance frameworks, security controls and operational excellence practices
Advise client executives, technology leaders and product teams
Lead the design and implementation of agentic AI solutions using modern AI orchestration frameworks, LLMs, copilots, autonomous workflows and intelligent agents
Identify opportunities to automate complex business processes through AI-based systems
Evaluate emerging AI technologies and define adoption strategies
Design secure, scalable and responsible AI solutions for enterprise environments
Lead cloud adoption, modernization, migration and platform engineering initiatives
Implement CI/CD pipelines, Infrastructure as Code, observability practices, reliability engineering and cloud governance
Support platform teams in implementing scalable DevOps operating models and automation strategies
Ensure security, compliance, performance and reliability requirements are met
Lead multidisciplinary engineering teams across multiple projects
Participate in presales activities, solution design, technical discovery workshops and proposal development
Provide executive-level communication and technical leadership throughout project delivery
Manage technical risks, architecture decisions and deliverable quality
Mentor and coach architects, engineers and technical leads
Foster a culture of innovation, continuous improvement and technical excellence
Contribute to the development of skills and capabilities within the Cloud & DevOps practice

Requirements

What you’ll need

More than 10 years of experience in software engineering, cloud architecture, platform engineering or DevOps
More than 5 years of experience in technical leadership, architecture or consulting roles
Deep expertise in Microsoft Azure, including Azure services, architecture patterns, governance, security and operations
Strong experience designing and delivering enterprise applications using Next.js, React and modern web architectures
Demonstrated experience implementing or architecting agentic AI solutions, AI-based automation, autonomous workflows, copilots or advanced AI solution frameworks
Experience with cloud-native architectures, microservices, APIs, containers and distributed systems
Strong experience providing client advisory services and managing executive-level stakeholders
Proficiency with Microsoft Azure, including App Services, AKS, Functions, AI Services, Networking, Security, Identity, Data Services and Platform Engineering capabilities
Proficiency with DevOps platforms and practices, including GitHub, Azure DevOps, CI/CD, Infrastructure as Code and automation
Experience with containerization and orchestration technologies such as Docker and Kubernetes
Strong knowledge of modern JavaScript/TypeScript ecosystems
Experience with observability, monitoring, reliability engineering and cloud security best practices
Experience integrating AI and machine learning solutions into enterprise applications
Fluency in English required
Azure Solutions Architect Expert, Azure DevOps Engineer Expert or another relevant Microsoft certification preferred
Experience with Azure OpenAI Service and implementing AI platforms in enterprise environments preferred
Experience in platform engineering and internal developer platforms preferred
Experience in consulting, digital transformation or systems integration environments preferred
Experience leading distributed, international delivery teams preferred

Benefits

Comp & perks

Four-month temporary position
Commitment to inclusion and accessibility
Reasonable accommodations may be available during the recruitment process