GitLab

Senior Solutions Architect, AI / Core DevOps- EMEA

Vaga remota de SA com fit claro de localização do candidato.

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AlbâniaArgéliaÁustriaBareinBélgicaBotsuana+53 mais

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Exploring how AI can improve core DevOps workflows across the software development lifecycle
Advising on practical approaches to automated and AI-assisted software delivery

Serve as GitLab's AI subject matter expert for core DevOps, bringing technical depth and practical guidance to customer and internal conversations.
Partner with customers and field teams to map AI use cases to real software development lifecycle challenges and recommend approaches that improve developer productivity, delivery speed, or operational reliability.
Develop and share informed perspectives on the future of AI in software development, including emerging concepts such as more automated delivery workflows.
Engage with product-aligned teams to ensure your domain expertise reflects how GitLab organizes and evolves its platform capabilities.
Evaluate and discuss architectural tradeoffs such as monoliths versus microservices and monorepos versus polyrepos in the context of AI-enabled development.
Draw on hands-on experience with modern DevOps tooling and automation, including areas such as continuous integration and continuous delivery, to inform strategic discussions.
Collaborate asynchronously with teammates across regions to share findings, align recommendations, and keep customer and product work moving forward.
Contribute to a streamlined interview and collaboration culture that values clear communication, iteration, and practical results.

Significant experience in software development, DevOps, platform engineering, solutions architecture, or a closely related technical field.
Deep interest and hands-on experimentation in how AI is changing the software development lifecycle, especially in core DevOps workflows.
Strong technical foundation in modern software delivery practices, including automation, continuous integration and continuous delivery, and cloud-native or platform-oriented environments.
Ability to speak thoughtfully about architectural and operational tradeoffs, including Kubernetes, monolithic versus microservices architectures, and monorepo versus polyrepo approaches.
Experience guiding technical strategy with customers, internal stakeholders, or engineering teams in a way that is practical rather than purely theoretical.
Clear communication skills with the ability to explain complex technical ideas to different audiences.
Comfort working effectively with minimal oversight as a manager of one in a remote, asynchronous environment while staying closely aligned with a global team.
Openness to candidates from different backgrounds, including practitioners, senior solutions architects, or technical experts with transferable expertise in AI and DevSecOps.