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Senior Solutions Architect, AI / Core DevOps - EMEA

2 weeks, 5 days ago
United Kingdom
Full-time
Senior
Solutions Architect
Software Development
CI/CD DevSecOps Kubernetes Microservices
Apply Now
GitLab

GitLab

GitLab: The comprehensive DevOps platform revolutionizing software development with automation, AI workflows, and essential tools for efficient collaboration.

Internet Software & Services
1K-5K
Founded 2014
View All Jobs 119

Description

  • Serve as GitLab’s AI subject matter expert for core DevOps in customer and internal discussions.
  • Partner with customers and field teams to map AI use cases to software development lifecycle challenges.
  • Recommend practical approaches that improve developer productivity, delivery speed, and operational reliability.
  • Develop and share perspectives on the future of AI in software development, including more automated delivery workflows.
  • Work with product-aligned teams to align domain expertise with GitLab’s platform direction.
  • Evaluate architectural tradeoffs such as monoliths versus microservices and monorepos versus polyrepos.
  • Draw on hands-on experience with DevOps tooling and automation, including continuous integration and continuous delivery, to inform strategy.
  • Collaborate asynchronously with teammates across regions to align findings and recommendations.
  • Contribute to a communication and collaboration culture focused on clear communication, iteration, and practical results.

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 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 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, non-theoretical way.
  • Clear communication skills with the ability to explain complex technical ideas to different audiences.
  • Comfort working with minimal oversight in a remote, asynchronous environment as a manager of one.
  • Open to candidates from varied backgrounds, including practitioners, senior solutions architects, or technical experts with transferable expertise in AI and DevSecOps.
  • Experience with AI-assisted or automated software delivery approaches is preferred.

Benefits

  • Flexible Paid Time Off.
  • Equity Compensation and Employee Stock Purchase Plan.
  • Growth and Development Fund.
  • Parental Leave.
  • Benefits to support health, finances, and well-being.
  • Team Member Resource Groups.
  • Remote work across countries, with location-based eligibility for some roles.

Interested in this position?

Apply directly on the company website

Apply Now

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