Staff Forward Deployed Engineer: AI SDLC & Customer Impact

GitLab

Amsterdam

On-site

EUR 120,000 - 180,000

Full time

5 days ago
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Job summary

GitLab is seeking a Staff Forward Deployed Engineer in Amsterdam to deliver strategic outcomes for AI adoption across Enterprise customers. You’ll contribute production-grade code, resolve adoption blockers, and collaborate with Product, Engineering, and Customer Success teams to shape product direction and reusable guidance.

You will diagnose complex problems across GitLab product behavior, customer architectures, CI/CD, and cloud environments, delivering durable improvements while guiding

Qualifications

  • Senior staff-level engineer with production software experience.
  • Experience contributing to large, mature codebases with high testing standards.
  • Proven ability to diagnose complex adoption blockers and deliver durable product improvements.
  • Experience working with strategic customers or senior technical stakeholders.

Responsibilities

  • Contribute production-quality code to GitLab’s product and adjacent systems.
  • Develop fixes, features, integrations, and tooling for strategic customers.
  • Collaborate with Product and Engineering to ensure scalable, long-term solutions.
  • Turn field blockers into reusable product improvements and reference architectures.
  • Work across teams to drive AI adoption patterns and governance.

Skills

Staff-level experience
Ruby on Rails or Go
AI adoption and governance
Strong written communication
Cross-functional collaboration
Customer-facing engineering

Tools

GitLab
Ruby on Rails
Go
PostgreSQL
Redis
Kubernetes
Docker

Job description

GitLab is seeking a Staff Forward Deployed Engineer in Amsterdam to deliver strategic outcomes for AI adoption across Enterprise customers. You’ll contribute production-grade code, resolve adoption blockers, and collaborate with Product, Engineering, and Customer Success teams to shape product direction and reusable guidance.

You will diagnose complex problems across GitLab product behavior, customer architectures, CI/CD, and cloud environments, delivering durable improvements while guiding

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