At a Glance
- Tasks: Shape AI applications in core DevOps and enhance software development processes.
- Company: Join GitLab, a leading platform for DevSecOps with a focus on innovation.
- Benefits: Flexible paid time off, equity compensation, and growth opportunities.
- Other info: Collaborate globally in a dynamic, remote-first environment.
- Why this job: Be at the forefront of AI in software development and make a real impact.
- Qualifications: Experience in software development and a passion for AI in DevOps.
The predicted salary is between 80000 - 100000 £ per year.
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.
As 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 lifecycle
- Advising on practical approaches to automated and AI-assisted software delivery
What you’ll 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, 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 bring:
- 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.
About the team:
The AI subject matter expert joins a small global team within GitLab's Solutions Architecture organization that provides deep domain expertise aligned to GitLab's product areas. We are built to link fast-moving AI innovation with the realities of customer environments and modern software delivery. Rather than staying at a high level, we focus on practical technical depth and help translate emerging ideas into useful guidance. This role is specifically aligned to core DevOps, alongside peers focused on other areas such as platforms and security and compliance. We work across regions and collaborate closely with product-aligned functions, making this a strong fit for someone who enjoys working across technical boundaries while staying grounded in hands-on knowledge. Our challenge is to keep pace with rapid change in AI while remaining clear, credible, and useful to the people building and operating software every day.
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status, or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics.
Senior Solutions Architect, AI / Core DevOps - EMEA employer: GitLab
GitLab is an exceptional employer that fosters a high-performance culture where innovation thrives and every voice is valued. With a commitment to employee growth, GitLab offers flexible paid time off, equity compensation, and a dedicated fund for professional development, ensuring that team members can reach their full potential while collaborating with industry leaders in a remote, asynchronous environment. Join us in shaping the future of software development with cutting-edge AI solutions, all while enjoying the benefits of a supportive and inclusive workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Solutions Architect, AI / Core DevOps - EMEA
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects and experiments with AI in DevOps. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practicing common questions and scenarios related to AI and DevOps. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Senior Solutions Architect, AI / Core DevOps - EMEA
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and its impact on DevOps shine through. We want to see how you've experimented with AI in your past roles and how you envision it shaping the future of software development.
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to explain your experience and skills, especially when discussing complex technical concepts. We appreciate clarity as it reflects your communication skills, which are crucial for this role.
Tailor Your Application:Make sure to customise your application to align with the job description. Highlight relevant experiences that showcase your expertise in DevOps and AI, and how they relate to the challenges we face at GitLab. This shows us that you understand our needs.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values!
How to prepare for a job interview at GitLab
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI and how they apply to DevOps. Be ready to discuss specific use cases where AI can enhance software development processes, as this will show your deep interest and hands-on experimentation in the field.
✨Master the Technical Trade-offs
Prepare to talk about architectural decisions like monoliths versus microservices or monorepos versus polyrepos. Being able to explain the pros and cons of these approaches in the context of AI-enabled development will demonstrate your technical depth and practical understanding.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You’ll need to convey your ideas effectively to various audiences, so think about how you can break down intricate topics into digestible pieces during your interview.
✨Show Your Collaborative Spirit
GitLab values teamwork, even in a remote setting. Be prepared to share examples of how you've collaborated with cross-functional teams in the past, especially in asynchronous environments. Highlighting your ability to work well with others will resonate with their high-performance culture.
