Coca-Cola
Manufacturing
Description
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
Responsibilities
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
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