高级后端工程师，平台就绪

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The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.

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GitLab features must ship successfully across four distinct deployment platforms—Self-Managed, Dedicated, Dedicated for Government, and GitLab.com. Today, developers routinely discover platform compatibility issues late in development, triggering costly rework, delays, and emergency escalations. The Platform Readiness team is building an internal developer tooling capability that embeds platform readiness intelligence directly into GitLab's software development lifecycle to solve this problem.

As a Senior Backend Engineer on the newly established Platform Readiness team, you'll architect and evolve the systems that enable features to ship successfully across all platforms by automating the evaluation of platform readiness requirements and surfacing risks early. You'll be a technical anchor for the team, driving the evolution of platform readiness from manual, ad-hoc assessments toward intelligent, agentic automation. Your work will directly impact GitLab's ability to ship features faster while dramatically reducing the risk of platform-readiness gaps and the operational burden of cross-platform validation.

You'll receive onboarding and technical guidance from other engineers and team leadership as you establish the technical direction for the Platform Readiness team.

• Contribute to the Platform Readiness team's agentic workflows on the Duo Agent Platform: design, implement, and evolve the Core Agentic Workflow (currently published to the AI Catalog as a DAP flow) and the Requirements Agent, enabling automated evaluation of platform readiness assessments against platform requirements

• Evolve the platform requirements knowledge base : contribute to schema design, validation tooling, and CI systems that power the agentic workflow; ensure the schema captures the full scope of platform readiness concerns across all four platforms and domains

• Build integration surfaces that enable feature teams to engage the Platform Readiness team where they already work: issues, merge requests, design documents, and CI/CD pipelines

• Partner with platform teams (Infrastructure, Security, Data) to translate their expertise into structured platform requirements, domain skills, and validation logic without requiring specific domain knowledge

• Contribute to the quality control feedback loop : design systems that surface assessment errors, missed gaps, and content drift back to the governance loop for continuous improvement; measure and improve assessment accuracy and guidance relevance

• Mentor other engineers on the team in agentic-workflow standards, prompt discipline, evaluation methodology, and the principles of human-AI collaboration in platform readiness

• Contribute to technical documentation and architectural decision records that document the Platform Readiness team's technical evolution and rationale for key design choices

What you'll bring

Required Experience & Skills

• 5+ years of software engineering experience with at least 2+ years in backend, platform, or developer-facing tooling

• Strong proficiency in TypeScript/Node, Python, or Golang (Ruby a plus)

• Understanding of GitLab-style development workflows (issues, epics, merge requests, CI/CD, code review) as first-class artifacts that automation can read and reason about

• Ability to work in cross-functional environments across multiple platform teams

Highly Valued Experience

• Experience with AI/agentic systems (DAP, ADK, LangGraph, or similar) OR demonstrated ability to reason rigorously about the boundary between what AI should decide and what humans must own

• Experience integrating with LLM APIs and reasoning about cost, latency, evaluation, and failure modes

• Background in developer experience or platform engineering

• Open source contribution history in platform, developer experience, or AI infrastructure

• PostgreSQL or other relational database experience at scale

What Makes You Stand Out (Strong Plus)

• You've shipped agentic workflows in production and dealt with the operational complexities of AI-driven automation

• You have experience designing schema-driven content systems with non-engineer authors and evolving them as requirements change

• You've built developer platform teams at scale and understand the dynamics of enabling other engineers

• You have observability and monitoring experience for AI systems , including evaluation metrics, cost tracking, and failure analysis

• You can explain complex concepts (agentic workflows, platform readiness, governance) clearly to platform teams, feature teams, product managers, and executives

• Flexible Paid Time Off

• Team Member Resource Groups

• Equity Compensation & Employee Stock Purchase Plan

• Growth and Development Fund

• Parental Leave

Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.

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