Technical Director, AI-Native Cloud – DevOps

🔥 0 minutes ago

🇨🇦 Canada – Remote

💵 $90 - $98 / hour

⏳ Contract/Temporary

🔴 Lead

☁️ Cloud Engineer

👻 Ghost score 0%

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Valtech

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1997

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

Valtech is a global digital agency focusing on experience innovation. They strive to transform businesses through a combination of technology, marketing, and data strategies. Valtech helps companies elevate their digital presence and drive commerce strategies, enhance enterprise digital transformations, and unlock marketing and performance potential. They also utilize data and AI to help organizations harness the power of information. With offices around the world, Valtech partners with businesses to shape their digital futures, offering a range of services and insights designed to enhance customer experiences.

📋 Description

• Define and drive technical vision, architecture strategies, and best practices for cloud and DevOps engagements • Lead the design and delivery 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 organizations • Lead the design and implementation of Agentic AI solutions using AI orchestration frameworks, LLMs, copilots, autonomous workflows, and intelligent agents • Help clients identify opportunities to automate complex business processes through AI-driven systems • Evaluate emerging AI technologies and define adoption strategies aligned with business objectives • Architect secure, scalable, and responsible AI solutions within enterprise environments • Drive cloud adoption, modernization, migration, and platform engineering initiatives • Establish CI/CD pipelines, Infrastructure as Code, observability, reliability engineering, and cloud governance practices • Guide platform teams in scalable DevOps operating models and automation strategies • Ensure solutions meet security, compliance, performance, and reliability requirements • Lead multidisciplinary engineering teams across multiple engagements • Support pre-sales, solutioning, technical discovery workshops, and proposal development • Provide executive-level communication and technical leadership throughout project delivery • Manage technical risk, architecture decisions, and delivery quality • Mentor architects, engineers, and technical managers • Foster innovation, continuous improvement, and technical excellence • Contribute to capability development within the Cloud & DevOps practice

🎯 Requirements

• 10+ years of experience in software engineering, cloud architecture, platform engineering, or DevOps • 5+ years in technical leadership, architecture leadership, or consulting leadership roles • Deep expertise in Microsoft Azure services, architecture patterns, governance, security, and operations • Strong experience designing and delivering enterprise applications using Next.js, React, and modern web architectures • Proven experience implementing or architecting Agentic AI, AI-enabled automation, autonomous workflows, copilots, or advanced AI solution frameworks • Experience with cloud-native architectures, microservices, APIs, containers, and distributed systems • Strong client-facing consulting experience with executive stakeholder management • Experience with Microsoft Azure services, including App Services, AKS, Functions, AI Services, Networking, Security, Identity, Data Services, and Platform Engineering capabilities • Experience with GitHub, Azure DevOps, CI/CD, Infrastructure as Code, and automation • Experience with Docker and Kubernetes • Experience with modern JavaScript/TypeScript ecosystems • Experience with observability, monitoring, reliability engineering, and cloud security best practices • Experience integrating AI and machine learning solutions within enterprise applications • Azure Solutions Architect Expert, Azure DevOps Engineer Expert, or other relevant Microsoft certifications are nice to have • Experience with Azure OpenAI Service and enterprise AI platform implementations is nice to have • Experience with platform engineering and internal developer platforms is nice to have • Background in consulting, digital transformation, or systems integration environments is nice to have • Experience leading distributed and global delivery teams is nice to have

🏖️ Benefits

• Growth opportunities • Values-driven culture • International careers • Continuous learning • Professional growth • Inclusive and accessible workplace • Reasonable accommodations during the interview process