GitLab
GitLab
GitLab एक AI-संचालित DevSecOps प्लेटफ़ॉर्म विकसित करता है, जो सॉफ़्टवेयर विकास, सुरक्षा और संचालन को एक ही वातावरण में एकीकृत करता है। इसके उत्पाद सॉफ़्टवेयर डिलीवरी जीवनचक्र के दौरान सोर्स कोड प्रबंधन, AI-सहायित विकास, CI/CD ऑटोमेशन, अनुपालन और कमज़ोरियों के प्रबंधन में सहायता करते हैं। GitLab उन संगठनों की सेवा करता है जो इंजीनियरिंग, सुरक्षा और संचालन से जुड़े कार्यप्रवाहों में समन्वय स्थापित करके अधिक कुशलता से सॉफ़्टवेयर वितरित करना चाहते हैं। GitLab में अवसर तलाशने वाले नौकरी आवेदकों को सॉफ़्टवेयर इंजीनियरिंग, क्लाउड इन्फ्रास्ट्रक्चर, साइबर सुरक्षा, कृत्रिम बुद्धिमत्ता, उत्पाद विकास और इसके एकीकृत प्लेटफ़ॉर्म को सहयोग देने वाले अन्य कार्यक्षेत्रों से जुड़े पद मिल सकते हैं।

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.

विवरण

  • 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.

आवश्यकताएँ

  • 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.

लाभ

  • 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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