Enterprise Technology Architect
About the Company
The Intersect Group is partnering with a global industry leader that is transforming how technology enables business innovation at scale. This organization is committed to engineering excellence, cloud modernization, security, and continuous improvement, providing technology professionals the opportunity to influence platforms that support complex enterprise operations across multiple business units. The culture values collaboration, innovation, automation, and the development of highly scalable solutions that accelerate business outcomes.
Role Summary
We are seeking an experienced Enterprise Technology Architect to lead the strategy, evolution, and governance of a large scale cloud native engineering platform that serves multiple business entities across North America. This role will own the foundational technology stack, platform architecture, developer tooling, infrastructure standards, and DevSecOps capabilities that empower engineering teams to deliver secure and scalable applications.
The ideal candidate combines enterprise architecture expertise with hands on technical leadership. You will define platform standards, drive cloud and infrastructure modernization, establish secure engineering practices, and champion emerging technologies including Generative AI and Agentic AI. Your work will directly influence platform reliability, security, developer experience, operational efficiency, and long term technology strategy.
Key Responsibilities
• Define and maintain enterprise platform architecture standards for cloud infrastructure, Kubernetes, containers, APIs, messaging, caching, and application runtimes
• Lead the design and evolution of cloud native platforms, infrastructure as code frameworks, GitOps delivery models, and multi environment architectures
• Architect reusable developer tooling, software libraries, dependency management frameworks, and engineering accelerators that enable consistent development practices
• Establish and enforce DevSecOps standards including vulnerability management, container security, identity management, secrets management, and software supply chain governance
• Drive observability, reliability engineering, performance optimization, and cloud cost management strategies across platform services
• Evaluate and implement Generative AI and Agentic AI capabilities that improve platform operations, engineering productivity, and automation
• Partner with engineering, security, infrastructure, and architecture teams to align platform strategy with enterprise technology objectives
• Lead architecture reviews, technology governance initiatives, proof of concepts, and adoption of emerging technologies
Key Requirements
• 10+ years of experience designing, building, and operating enterprise technology solutions with at least 3 years in Enterprise Architecture, Platform Architecture, Solution Architecture, or Software Architecture roles
• Deep expertise in cloud native architecture, Kubernetes, containers, microservices, APIs, event driven architecture, networking, and distributed systems
• Strong hands on experience with Infrastructure as Code using Terraform, Terragrunt, or similar technologies
• Experience implementing GitOps delivery models utilizing tools such as Helm, ArgoCD, or comparable platforms
• Demonstrated success designing shared engineering platforms, developer tooling, software libraries, SDKs, dependency management frameworks, and platform services
• Strong knowledge of DevSecOps practices including SAST, SCA, container security, secrets management, vulnerability remediation, and identity governance
• Experience implementing observability solutions utilizing metrics, logging, tracing, alerting, service level objectives, and reliability engineering principles
• Expertise with AI, Machine Learning, Generative AI, or Agentic AI technologies and an understanding of responsible AI governance and risk management
• Experience working within Agile, SAFe, or Scrum environments while driving large scale technical initiatives
• Excellent communication, leadership, collaboration, strategic planning, and problem solving skills
Preferred Qualifications
• Master's degree in Computer Science, Engineering, Information Technology, or a related discipline
• Professional architecture certifications including AWS, Azure, Google Cloud Platform, TOGAF, CKA, CKAD, or Terraform Associate
• Experience with Java, Spring Boot, TypeScript, Next.js, Python, PostgreSQL, Kafka, and Redis
• Hands on experience with observability and DevSecOps tools such as Datadog, Grafana, OpenTelemetry, SonarQube, Artifactory, Checkmarx, or Black Duck
• Experience with agent based development platforms, AI orchestration frameworks, and modern developer productivity tools
• Experience supporting complex enterprise environments with multiple business units, regions, or regulatory requirements
• Background within regulated industries such as automotive, financial services, manufacturing, or similar enterprise environments
Why Join This Opportunity
• Influence the long term technology direction of a large scale enterprise platform
• Drive cloud modernization, platform engineering, and AI enabled innovation initiatives
• Partner with senior technology leaders and engineering teams across multiple organizations
• Shape architecture standards, operational excellence, and engineering best practices
• Lead highly visible initiatives with measurable impact on scalability, security, reliability, and developer productivity
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