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GitLab
GitLab
1.001 – 5.000 Angajați
ConsultanțăInteligență artificialăMarketing
GitLab dezvoltă o platformă DevSecOps bazată pe inteligență artificială, care reunește dezvoltarea software, securitatea și operațiunile într-un singur mediu. Produsele sale oferă suport pentru gestionarea codului sursă, dezvoltarea asistată de inteligență artificială, automatizarea CI/CD, conformitate și gestionarea vulnerabilităților pe parcursul întregului ciclu de viață al livrării software. GitLab deservește organizații care doresc să coordoneze fluxurile de lucru din inginerie, securitate și operațiuni, livrând software mai eficient. Persoanele care caută un loc de muncă și analizează roluri la GitLab pot găsi oportunități în ingineria software, infrastructura cloud, securitate cibernetică, inteligență artificială, dezvoltarea produselor și alte funcții care susțin platforma sa unificată.
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Locurile de muncă ale companiei

GitLab Staff Full-Stack Engineer, Data Products (Go/Node.js) – Remote, United States

Lead the architecture and delivery of GitLab’s data products, integrations, and knowledge graph. Build APIs, marketplace data access, and AI-powered developer intelligence across GitLab’s deployment environments.

CACanadaUSStatele Unite ale Americii
152.800 $ – 259.200 $ / an
RemoteNormă întreagăLiderLimbă Obligatorie: englezăInginer de date
BigQueryGoNode.jsRubyServiceNow

Descriere

  • Design how GitLab and external data enters, is modeled within, and synchronizes with a near-real-time knowledge graph of the development ecosystem.
  • Own integrations with external business-context systems such as Jira, observability platforms, Zendesk, and ServiceNow.
  • Shape the Data Marketplace to let customers access GitLab data through Snowflake, Databricks, and BigQuery without requiring engineering support.
  • Expose GitLab observability through OpenTelemetry and develop APIs for brokered data sharing.
  • Establish operational-readiness standards for releases across GitLab.com, Dedicated, and Self-Managed.
  • Turn an ambiguous 0-to-1 domain into practical, iterative roadmaps with Product, Design, and the graph backend team.
  • Coordinate and resolve dependencies spanning the graph backend, AI Platform, and Infrastructure teams.
  • Support senior and intermediate engineers through design reviews, pairing, and code reviews.
  • Find systemic constraints, streamline processes, and create systems that increase delivery velocity.

Cerințe

  • Demonstrated Staff-level influence while owning product or platform systems end to end across several engineering and product teams.
  • High ownership and initiative: identify the right owner, clarify the approach, make decisions, and drive work through completion.
  • Ability to elevate both colleagues and the surrounding codebase as a force multiplier.
  • Advanced full-stack capability with strong Go, Ruby, and Node.js proficiency.
  • Expertise in at least one of analytics and metrics platforms, graph data systems, or change-data-capture and warehouse integrations.
  • Practical experience developing AI-powered orchestration for production systems.
  • Experience running multi-tenant products across SaaS and self-managed deployments.
  • Clear communicator who can create alignment among multiple teams.
  • Habit of documenting decisions and making technical reasoning easy to follow.
  • Expected to integrate AI into everyday engineering workflows.

Beneficii

  • Programs and resources supporting health, financial security, and overall well-being.
  • Flexible paid time off.
  • Team member resource groups.
  • Equity compensation and an employee stock purchase plan.
  • Fund for professional growth and development.
  • Parental leave.

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