As a System Architect for the Software Development Lifecycle (SDLC), you will be responsible for designing and further developing an integrated and seamless ecosystem of tools and processes that support everyone involved in software development and delivery. A unique opportunity to significantly simplify the daily work of numerous IT professionals.
From functional and technical analysis, data modeling and development to testing, deployment, and release management: you ensure that all steps within the software lifecycle are optimally integrated, automated, and user-friendly.
You eliminate unnecessary complexity, reduce friction in processes, and enable engineers and analysts to focus on value creation rather than administrative tasks.
Your responsibilities
Designing and managing the target architecture for SDLC tooling (such as Confluence, data and architecture modeling platforms, CI/CD solutions, etc.), in close collaboration with the owners of these tools.
Acting as a bridge between SDLC process owners and owners of development platforms and tooling (such as software factories).
Ensuring end-to-end integration of all phases within the software lifecycle.
Promoting standardization and reuse of processes, architecture patterns, and solutions.
Eliminating manual evidence registration and documentation through automation.
Ensuring traceability and compliance according to the "compliance by design" principle.
Implementing AI solutions for automation, rapid user feedback, documentation generation, and other optimizations.
Improving the developer experience and the use of available tooling.
What makes this role unique?
You help shape the future of the SDLC landscape within a large-scale IT organization. You have a direct impact on efficiency, developer experience, and compliance. Furthermore, you are at the intersection of technology, process optimization, risk management, and AI innovation.
Location: Leuven (50% onsite)
Duration: asap - 31/12/2027 (renewable)
Strong experience with system and/or solution architecture.
Thorough knowledge of SDLC processes and DevOps practices.
Experience with development tools and CI/CD environments.
Interest in AI-driven automation.
Strong stakeholder management and communication skills.
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