Technical Director – Cloud-Native, AI, DevOps

🔥 0 minutes ago

🇨🇦 Canada – Remote

💵 $90 - $98 / hour

⏳ Contract/Temporary

🔴 Lead

☁️ Cloud Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 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

• 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

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