Senior Solutions Architect, AI / Core DevOps - EMEA

Job summary

As an AI Subject Matter Expert at GitLab, you will help shape how teams apply AI across the future of core DevOps. This role requires deep technical credibility and a practical understanding of how AI can improve the software development lifecycle, from planning and coding through delivery and operations. You will collaborate with customers, internal teams, and product stakeholders to clarify emerging use cases, guide technical strategy, and translate ideas into real-world approaches.

Qualifications

• 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, continuous delivery, and cloud-native or platform-oriented environments.
• Ability to thoughtfully discuss 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 practical manner.
• Clear communication skills to explain complex technical ideas to diverse audiences.
• Comfort working effectively with minimal oversight as a manager of one in a remote, asynchronous environment while maintaining alignment with a global team.
• Openness to candidates from various backgrounds, including practitioners, senior solutions architects, or technical experts with transferable expertise in AI and DevSecOps.

Responsibilities

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

Skills

Relocation