Senior Backend Engineer, Platform Readiness

Навыки

• AI-агенты
• CI/CD
• Code review
• DevSecOps
• Go
• HR-процессы
• База знаний

О компании и продукте

• The Platform Readiness team is part of GitLab Developer Experience, building internal developer tooling capability for platform readiness across GitLab's four deployment targets: Self-Managed, Dedicated, Dedicated for Government, and GitLab.com. We partner with platform teams, feature teams, and product management to ensure every feature is evaluated against platform readiness requirements before it ships.
• Current challenges we're tackling:
• Moving from manual coordination to embedded automation: Transitioning from manual, ad-hoc platform readiness assessments to automated, agentic evaluation while maintaining human oversight and trust
• Building a structured, machine-readable requirements body: Evolving the platform requirements schema to capture the full scope of platform readiness concerns across all domains and platforms

Задачи

• 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

Требования

• 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
• 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)
• Experience shipping developer-facing tooling where the primary user is another engineer
• 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
• Experience with structured content systems, schemas, or validation tooling
• 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
• Experience with governance patterns for shared standards and cross-org decision-making
• 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

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