Senior Solutions Architect, AI / Core DevOps - EMEA

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.*Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.An overview of this roleAs an AI Subject Matter Expert at GitLab, you will help shape how teams apply AI across the future of core DevOps. We designed this role for someone who combines deep technical credibility with a practical point of view on how AI can improve the software development lifecycle, from planning and coding through delivery and operations. You will work closely with customers, internal teams, and product-aligned stakeholders to bring clarity to emerging use cases, guide technical strategy, and turn ideas into grounded, real-world approaches.We are looking for someone who doesn't just talk about possibilities, but who regularly experiments, develops informed perspectives, and can explain the tradeoffs behind modern software development patterns. Your work will help GitLab link AI innovation to the day-to-day realities of developers and platform teams.Some examples of our projects:Exploring how AI can improve core DevOps workflows across the software development lifecycleAdvising on practical approaches to automated and AI-assisted software deliveryWhat you’ll doServe 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.What you’ll bringSignificant 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.About the teamThe AI subject matte