
1001 - 5000 employees
Founded 2014
š¼ Consulting
š£ Marketing
š¤ Artificial Intelligence
š° Secondary Market on 2020-11
Consulting ⢠Marketing ⢠Artificial Intelligence
GitLab is the most comprehensive AI-powered DevSecOps platform, offering tools for automated software delivery, security, and compliance throughout the software development lifecycle. It provides solutions across areas such as AI-assisted development, continuous integration/continuous deployment (CI/CD), source code management, and vulnerability management. GitLab aims to simplify and accelerate software delivery by uniting development, security, and operations on a unified platform. It is particularly recognized for its AI code assistants and has been named a leader in the Gartner Magic Quadrant⢠for DevOps Platforms, making it a preferred choice for many enterprises.
š„ 1 minute ago
šŗšø United States ā Remote
šµ $168k - $285.6k / year
ā° Full Time
š“ Lead
š» IT Support
š» Ghost score 0%
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1001 - 5000 employees
Founded 2014
š¼ Consulting
š£ Marketing
š¤ Artificial Intelligence
š° Secondary Market on 2020-11
Consulting ⢠Marketing ⢠Artificial Intelligence
GitLab is the most comprehensive AI-powered DevSecOps platform, offering tools for automated software delivery, security, and compliance throughout the software development lifecycle. It provides solutions across areas such as AI-assisted development, continuous integration/continuous deployment (CI/CD), source code management, and vulnerability management. GitLab aims to simplify and accelerate software delivery by uniting development, security, and operations on a unified platform. It is particularly recognized for its AI code assistants and has been named a leader in the Gartner Magic Quadrant⢠for DevOps Platforms, making it a preferred choice for many enterprises.
⢠Design and evolve GitLab's internal systems so they integrate, perform, and scale for a rapidly growing business ⢠Apply business, application, data, and technology architecture lenses, with AI considered across each ⢠Map business processes and capabilities to systems, owners, and systems of record ⢠Architect end-to-end processes spanning product introduction, CPQ, quote-to-cash, billing, revenue recognition, renewals, record-to-report, and customer service ⢠Redesign workflows and determine appropriate use of AI agents, deterministic automation, and human involvement ⢠Produce high-level designs and patterns for Salesforce, NetSuite, Zuora, Zendesk, Workato, and other core platforms ⢠Design maintainable, supportable integrations with observability, error handling, runbooks, and realistic total cost of ownership ⢠Review application changes, data model changes, and third-party package additions ⢠Run quarterly platform health checks and publish reports on capacity, limits, trends, and ownership ⢠Architect operational and analytical data flows, including AI retrieval and grounding, APIs, events, pipelines, warehouse models, and reverse ETL ⢠Design privacy, residency, SOX, security, data access, and AI data-handling controls ⢠Establish integration and data contracts between systems ⢠Define platform, integration, identity, access management, secrets-handling, and AI-agent interface patterns ⢠Collaborate with Infrastructure, Security, enterprise AI, Data, Applications, Integration, and RPA teams on reliability, security, governance, and scale ⢠Produce target-state architectures, decision records, reference patterns, and build-ready high-level designs ⢠Co-author designs with engineering teams and support them through implementation ⢠Resolve complex technical problems, build proofs of concept, and root-cause production issues ⢠Maintain technical-debt inventories and drive remediation through projects, upgrades, and migrations ⢠Review architecture as a member of the Architecture Review Board
⢠Deep expertise in application architecture and data architecture ⢠Working fluency in business process and technology architecture ⢠AI expertise as a working lens across business, application, data, and technology architecture ⢠Strong hands-on background in integration, automation, and applied AI ⢠Experience with retrieval-augmented generation, tool calling, and agent orchestration on a platform such as Claude ⢠Experience with AI evaluation and guardrails ⢠Fluency using AI in daily work, including AI-assisted development ⢠Experience architecting ERP, CRM, CPQ, billing, financial, and customer service platforms ⢠Experience with quote-to-cash and record-to-report processes ⢠Expert-level knowledge of data modeling, integration architecture patterns, and API design ⢠Practical experience with data warehouses and ELT, ETL, and reverse ETL pipelines ⢠Depth in iPaaS tooling and production integration operations ⢠Working knowledge of cloud platforms ⢠Track record of driving architectural change through influence ⢠Ability to explain trade-offs in plain business language to Director and VP stakeholders
⢠Benefits to support your health, finances, and well-being ⢠Flexible Paid Time Off ⢠Team Member Resource Groups ⢠Equity Compensation & Employee Stock Purchase Plan ⢠Growth and Development Fund ⢠Parental Leave
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