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GitLab

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Senior Solutions Architect, AI – Core DevOps

Solutions EngineerSolutions EngineerFull TimeRemoteSeniorTeam 1,001-5,000Since 2014H1B No SponsorCompany SiteLinkedIn

Location

United Kingdom

Posted

11 days ago

Salary

0

Seniority

Senior

Job Description

Senior Solutions Architect, AI – Core DevOps

GitLab

• 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.

Job Requirements

  • 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.

Benefits

  • Benefits to support your health, finances, and well-being
  • Flexible Paid Time Off
  • Team Member Resource Groups
  • Equity Compensation & Employee Stock Purchase Plan
  • Growth and Development Fund
  • Parental Leave

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