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Staff Forward Deployed Engineer

Backend Developer • Remote • Full-time • 📍 Remote

A Staff-level product engineering role that works with deep proximity to GitLab's strategic customers, diagnosing complex technical problems, contributing production-grade code, and driving AI/agentic SDLC adoption.

Responsibilities

  • Contribute production-quality code to GitLab's product and adjacent systems (bug fixes, features, integrations, tooling, performance improvements)
  • Work within GitLab's normal product and engineering processes: issue discovery, MR creation, testing, review, documentation
  • Influence Product and Engineering so customer-driven solutions align with long-term product direction
  • Translate field-discovered blockers into durable product improvements, reference architectures, documentation, or repeatable patterns
  • Engage with strategically important customers when adoption, retention, or trust is at risk
  • Diagnose complex technical problems across product behavior, Git internals, CI/CD workflows, API usage, observability, infrastructure, networking, and cloud environments
  • Coordinate across Product, Engineering, SRE, Support, SA, CSA, CSM, PS, and customer technical teams
  • Provide data-driven, systems-level recommendations for improving GitLab usage, workflows, and architecture
  • Drive adoption of GitLab Duo Agent Platform with strategic customers in governed, measurable, production-oriented ways
  • Identify and resolve blockers to AI adoption, including governance, auditability, security, compliance, and workflow design
  • Develop customer-safe adoption patterns for agentic SDLC and AI governance
  • Contribute to Well Architected Frameworks, whitepapers, webinars, reference architectures, and technical strategy memos

Requirements

  • Staff-level experience building, operating, or improving complex production software systems
  • Demonstrated ability to contribute to large, mature product codebases with high standards for testing, maintainability, performance, and security
  • Strong Ruby/Rails or Go experience, with ability to contribute directly to GitLab's product
  • Experience diagnosing complex system behavior across application code, data stores, infrastructure, observability, networking, APIs, and customer usage patterns
  • Deep understanding of modern DevSecOps workflows, including Git, merge requests, CI/CD, security controls, and compliance needs
  • Experience working with strategic customers or senior technical stakeholders in ambiguous, high-impact situations
  • Ability to coordinate across Product, Engineering, Support, SRE, SA, CSA, CSM, Professional Services, and customer teams without formal authority
  • Strong written communication skills, including technical narratives and architecture guidance
  • Demonstrated judgment in distinguishing reusable product/platform work from customer-specific customization

Nice to have

  • Direct experience with GitLab as a platform, including GitLab.com, Dedicated, or self-managed deployments
  • Production experience with Ruby on Rails, Go, PostgreSQL, Redis, Sidekiq, Vue, TypeScript, Kubernetes, Docker, Linux, and observability tooling
  • Deep familiarity with Git internals, repository performance, large-scale Git usage patterns, or CI runner behavior
  • Experience with AI-assisted software development, agentic workflows, AI governance, model evaluation, or context management
  • Experience creating thought-leadership artifacts such as whitepapers, technical talks, or RFCs
  • Background in performance engineering, SRE, platform engineering, or distributed systems
  • Experience working in open-source or highly asynchronous engineering environments

Soft skills

Operating credibly in front of senior customer stakeholders without formal authorityStrong written communication for technical narrativesJudgment distinguishing reusable work from one-off customizationStrong cross-team collaboration

About the company

GitLab is the intelligent orchestration platform for DevSecOps, with more than 50 million registered users; the team is expected to embrace AI as a core productivity multiplier in daily work.

Languages: Angol: Felsőfok

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