Senior Solutions Architect, AI / Core DevOps - EMEA

About the Role

As a key member of the Gitlab team, the Senior Solutions Architect will help shape the company's AI strategy and drive innovation in the industry. This role is ideal for a seasoned technical expert with a passion for AI, DevOps, and software development, who is looking for a challenging and rewarding opportunity to make a real impact.

Gitlab's high-performance culture is driven by its values and continuous knowledge exchange, enabling team members to reach their full potential while collaborating with industry leaders to solve complex problems. The company is committed to creating a diverse and inclusive work environment, where every voice is valued and every team member can thrive.

What You Will Do

• 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.
• Collaborate with internal stakeholders to drive AI adoption and identify opportunities for innovation and improvement.
• Develop and maintain relationships with key customers and partners, providing technical guidance and support.

What We Are Looking For

• 5+ years of experience in a technical role, with a focus on DevOps, AI, and software development.
• Deep understanding of DevOps principles, practices, and tools, including continuous integration and continuous delivery.
• Experience with AI and machine learning, including natural language processing, computer vision, and predictive analytics.
• Strong programming skills in languages such as Python, Java, or C++.
• Excellent communication and collaboration skills, with the ability to work with cross-functional teams.
• Experience with cloud-based platforms and services, including Amazon Web Services, Microsoft Azure, or Google Cloud Platform.
• Strong understanding of software development lifecycles, including agile methodologies and version control systems.
• Experience with data analytics and visualization tools, including Tableau, Power BI, or D3.js.

Nice to Have

• Experience with containerization and orchestration tools, including Docker and Kubernetes.
• Knowledge of security and compliance principles, including data encryption, access control, and auditing.
• Experience with IT service management frameworks, including ITIL or COBIT.
• Certification in AI, DevOps, or a related field, such as Certified DevOps Engineer or Certified AI Engineer.
• Experience with robotic process automation, including tools such as UiPath or Automation Anywhere.

Benefits and Perks

• Competitive salary and equity package.
• Comprehensive health, dental, and vision insurance.
• Flexible paid time off and vacation policy.
• Remote work stipend and home office setup.
• Professional development and training opportunities.
• Access to the latest tools and technologies.
• Collaborative and dynamic work environment.
• Opportunity to work with a talented and diverse team.
• Recognition and rewards for outstanding performance.

• Tailor your resume and cover letter to highlight your experience with AI, DevOps, and software development.
• Be prepared to discuss your experience with modern DevOps tooling and automation, including areas such as continuous integration and continuous delivery.
• Show a deep understanding of AI and machine learning concepts, including natural language processing, computer vision, and predictive analytics.
• Emphasize your ability to work collaboratively with cross-functional teams and communicate complex technical ideas to non-technical stakeholders.
• Research Gitlab's products and services, and be prepared to discuss how you can contribute to the company's mission and vision.
• Prepare examples of your experience with data analytics and visualization tools, including Tableau, Power BI, or D3.js.
• Be ready to discuss your experience with cloud-based platforms and services, including Amazon Web Services, Microsoft Azure, or Google Cloud Platform.