Enterprise Architect

Git Lab is the intelligent orchestration platform for Dev Sec Ops . Git Lab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100
* trust Git Lab to ship better, more secure software faster.

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. Git Lab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our valuesand 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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As a Staff Enterprise Architect, you will design and evolve how Git Lab's internal systems are configured, integrate, perform and scale to support a rapidly growing business. Reporting to the Director, Enterprise Architecture and AI Intelligent Automation, you will apply all four architecture lenses (business, application, data, and technology) to the systems in your scope, treating AI as a standing consideration inside each rather than a separate workstream.

Enterprise-wide strategy, portfolio direction, and standards ownership sit with the Director. Your job is depth: turning that direction into designs detailed enough to build, and being the person trusted with the hardest technical problems in the enterprise. You will not manage people. You will lead through architecture, as the partner to our Applications engineering teams and to Integration, RPA, and Intelligent Automation, and as a reviewer on the Architecture Review Board, where the aim is to make architecture an enabler rather than a gate.

• In collaboration with product management and process owners, map the current-state processes and capabilities supported by the systems in your scope, tying each capability to its supporting systems, owners, and systems of record, and identify and resolve where those systems create friction, manual handoffs, or duplicated work, including handoffs an AI agent could remove entirely.
• Architect end-to-end processes that span front-office and back-office systems, including new product introduction, CPQ and quote-to-cash, billing and revenue recognition, renewals, and record-to-report, together with the customer service processes that run alongside them, including case and escalation management, entitlements, and service level commitments, rather than optimizing any one system in isolation.
• Redesign workflows before automating them, so we aren't encoding broken processes into new tooling. For each step, decide what an AI agent should handle, what deterministic automation should handle, and what stays with a person.
• In collaboration with the Applications engineering teams, serve as their embedded architect, producing high level designs and patterns for changes to Salesforce, Net Suite, Zuora, Zendesk, and other core platforms. Favor configuration and supported extension patterns over customization,…