GitLab
Senior
Act as GitLab's AI subject matter expert for core DevOps, advising customers and internal teams on AI-driven SDLC transformation
GitLab is hiring a Senior Solutions Architect to serve as its AI subject matter expert for core DevOps, working with customers and product-aligned teams to map AI use cases onto real software delivery challenges and speak credibly on architectural tradeoffs like monolith vs. microservices and monorepo vs. polyrepo. This interview tests deep hands-on DevOps/CI-CD credibility combined with the ability to operate as a 'manager of one' in a fully remote, asynchronous, customer-facing role.
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What this interview tests
- Hands-on AI-assisted software delivery experimentation and point of view
- CI/CD and cloud-native/platform engineering fundamentals
- Architectural tradeoff reasoning: monolith vs. microservices, monorepo vs. polyrepo, Kubernetes
- Customer-facing technical advising and translating fuzzy asks into recommendations
- Working autonomously ('manager of one') in a remote, asynchronous global team
- Staying current and credible on fast-moving AI/DevOps trends
Common question themes
Tell me about an AI-assisted development or delivery workflow you've personally experimented with — what worked and what didn't?
Argue both sides of monorepo vs. polyrepo (or monolith vs. microservices) — how does AI-assisted development change that calculus?
Walk me through a CI/CD pipeline or automation project you designed end to end
Describe a customer or stakeholder conversation where you had to turn an ambiguous AI use case into a concrete technical recommendation
How do you stay current on fast-moving AI/DevOps developments and translate that into practical guidance?
Give an example of driving a project with minimal oversight across a remote, asynchronous, multi-timezone team
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