Technical Director leading Azure cloud, DevOps, and Agentic AI transformation for Valtech, an experience innovation company. Guiding enterprise modernization, architecture, delivery, and engineering teams.
Responsibilities
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
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
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