Qualifications

• Extensive experience in Enterprise Architecture, DevOps, Developer Productivity, Platform Engineering, or Developer Experience roles in complex enterprise environments
  
• Familiarity with enterprise architecture practices and frameworks such as TOGAF (e.g. architecture principles, target states, roadmaps, governance), applied pragmatically in an Agile and SAFe context
  
• Strong familiarity with Agile and SAFe ways of working
  
• Deep understanding of the full SDLC, from requirements and design to deployment and operations
  
• Proven experience working across a heterogeneous landscape including:
  
• Cloud platforms (Azure preferred; multi-cloud a plus)
  
• Mobile applications (iOS and Android)
  
• Enterprise platforms such as SAP, Microsoft Dynamics, and Power Platform
  
• DevOps Platforms (Azure preferred), Atlassian Suite
  
• Experience introducing and scaling AI tools for software development
  
• Strong architectural mindset, with the ability to balance standards, autonomy, and speed
  
• Preferred certifications: TOGAF, SAFe, Azure, SAP, Dynamics
  

Shape Developer Productivity & Experience

• Define and evolve the Developer Productivity / Developer Experience strategy, aligned with business priorities, Agile/SAFe ways of working, and enterprise architecture principles
  
• Design end-to-end developer journeys across the full Software Development Life Cycle (SDLC), from idea to production and operations
  
• Identify developer pain points and drive systemic improvements that increase flow, quality, and satisfaction
  

Lead Platform, tooling and automation strategy

• Define the vision and roadmap for developer platforms, including CI/CD, environment provisioning, and self-service capabilities
  
• Introduce and govern developer tools (IDEs, pipelines, testing frameworks, artifact repositories), ensuring consistency and ease of use
  
• Drive tooling rationalization to reduce complexity and cognitive load for development teams
  

Enable AI-Augmented Development

• Lead the introduction and responsible use of AI for developers, including code generation, testing, documentation, and quality analysis
  
• Integrate AI capabilities into developer workflows and CI/CD pipelines
  
• Define guardrails for security, intellectual property, and compliance related to AI-assisted development
  
• Measure and communicate the productivity impact of AI-enabled engineering
  

Align Architecture with Agile & Delivery Execution

• Ensure architecture is actionable and aligned with delivery models, enabling effective execution in Agile and SAFe environments
  
• Support SAFe value streams, Agile Release Trains (ARTs), and Program Increments (PIs) through architectural guidance and enablement
  
• Collaborate with Product Management, System Architects, Release Train Engineers, and engineering leadership
  
• Support architecture runway definition and technical enablement during PI planning
  

Act as Senior Architecture Leader

• Contribute to architecture governance and decision-making at enterprise level
  
• Influence without direct authority, working across multiple teams and domains
  
• Mentor architects and senior engineers and lead Developer Experience or DevOps Communities of Practice